[go: up one dir, main page]

AR128530A2 - Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas - Google Patents

Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas

Info

Publication number
AR128530A2
AR128530A2 ARP230100352A ARP230100352A AR128530A2 AR 128530 A2 AR128530 A2 AR 128530A2 AR P230100352 A ARP230100352 A AR P230100352A AR P230100352 A ARP230100352 A AR P230100352A AR 128530 A2 AR128530 A2 AR 128530A2
Authority
AR
Argentina
Prior art keywords
networks
antagonical
generative
training
interest
Prior art date
Application number
ARP230100352A
Other languages
English (en)
Inventor
Dinh Nhan Ngo
Guilio Evangelisti
Flavio Navari
Original Assignee
Cosmo Artificial Intelligence Ai Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Cosmo Artificial Intelligence Ai Ltd filed Critical Cosmo Artificial Intelligence Ai Ltd
Publication of AR128530A2 publication Critical patent/AR128530A2/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002Operational features of endoscopes
    • A61B1/00004Operational features of endoscopes characterised by electronic signal processing
    • A61B1/00009Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
    • A61B1/000096Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope using artificial intelligence
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002Operational features of endoscopes
    • A61B1/00043Operational features of endoscopes provided with output arrangements
    • A61B1/00055Operational features of endoscopes provided with output arrangements for alerting the user
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/273Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the upper alimentary canal, e.g. oesophagoscopes, gastroscopes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/273Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the upper alimentary canal, e.g. oesophagoscopes, gastroscopes
    • A61B1/2736Gastroscopes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/31Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the rectum, e.g. proctoscopes, sigmoidoscopes, colonoscopes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217Validation; Performance evaluation; Active pattern learning techniques
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/40Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
    • G06F18/41Interactive pattern learning with a human teacher
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0475Generative networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/088Non-supervised learning, e.g. competitive learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/0895Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/094Adversarial learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/25Determination of region of interest [ROI] or a volume of interest [VOI]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/776Validation; Performance evaluation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/69Microscopic objects, e.g. biological cells or cellular parts
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10068Endoscopic image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30028Colon; Small intestine
    • G06T2207/30032Colon polyp
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30096Tumor; Lesion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images
    • G06V2201/031Recognition of patterns in medical or anatomical images of internal organs
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images
    • G06V2201/032Recognition of patterns in medical or anatomical images of protuberances, polyps nodules, etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • General Engineering & Computer Science (AREA)
  • Surgery (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Public Health (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Optics & Photonics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Databases & Information Systems (AREA)
  • Gastroenterology & Hepatology (AREA)
  • Multimedia (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)

Abstract

La presente invención se refiere a sistemas y métodos implementados por computadora para el entrenamiento y uso de redes generativas antagónicas. En una implementación, un sistema para entrenar una red generativa antagónica puede incluir al menos un procesador que puede proveer una pluralidad de imágenes que incluyen representaciones de una característica de interés e indicadores de ubicación de la característica de interés y el uso de la primera pluralidad de indicadores para entrenar una red de detección de objetos. Además, el o los procesadores pueden proveer una segunda pluralidad de imágenes que incluye representaciones de la característica de interés, y aplicar la red de detección de objetos entrenada a la segunda pluralidad para producir una pluralidad de detecciones de la característica de interés. Adicionalmente, el o los procesadores pueden proveer verificaciones establecidas manualmente de verdaderos positivos y falsos positivos con respecto a la pluralidad de detecciones, usar las verificaciones para entrenar una red generativa antagónica, y volver a entrenar la red generativa antagónica usando por lo menos un conjunto adicional de imágenes, detecciones adicionales y otras verificaciones establecidas manualmente.
ARP230100352A 2018-06-13 2023-02-15 Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas AR128530A2 (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/008,006 US10810460B2 (en) 2018-06-13 2018-06-13 Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
EP18180570.6A EP3582143A1 (en) 2018-06-13 2018-06-28 Systems and methods for training generative adversarial networks and use of trained generative adversarial networks

Publications (1)

Publication Number Publication Date
AR128530A2 true AR128530A2 (es) 2024-05-15

Family

ID=62816460

Family Applications (4)

Application Number Title Priority Date Filing Date
ARP190101604A AR115522A1 (es) 2018-06-13 2019-06-11 Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas
ARP230100352A AR128530A2 (es) 2018-06-13 2023-02-15 Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas
ARP240101167A AR132633A2 (es) 2018-06-13 2024-05-07 Sistema y método para entrenar una red generativa antagónica usando imágenes que incluyen representaciones de una anomalía
ARP240101166A AR132632A2 (es) 2018-06-13 2024-05-07 Sistema y método para entrenar una red generativa antagónica usando imágenes que incluyen representaciones de una anomalía

Family Applications Before (1)

Application Number Title Priority Date Filing Date
ARP190101604A AR115522A1 (es) 2018-06-13 2019-06-11 Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas

Family Applications After (2)

Application Number Title Priority Date Filing Date
ARP240101167A AR132633A2 (es) 2018-06-13 2024-05-07 Sistema y método para entrenar una red generativa antagónica usando imágenes que incluyen representaciones de una anomalía
ARP240101166A AR132632A2 (es) 2018-06-13 2024-05-07 Sistema y método para entrenar una red generativa antagónica usando imágenes que incluyen representaciones de una anomalía

Country Status (14)

Country Link
US (4) US10810460B2 (es)
EP (2) EP3582143A1 (es)
JP (2) JP7455821B2 (es)
KR (2) KR102826170B1 (es)
CN (2) CN112543941B (es)
AR (4) AR115522A1 (es)
AU (2) AU2019286544B2 (es)
BR (1) BR112020025390A8 (es)
IL (3) IL279416A (es)
MX (2) MX2020013412A (es)
SG (1) SG11202012374WA (es)
TW (1) TWI793337B (es)
WO (1) WO2019238712A1 (es)
ZA (1) ZA202007745B (es)

Families Citing this family (57)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018198327A1 (ja) * 2017-04-28 2018-11-01 オリンパス株式会社 内視鏡診断支援システム、内視鏡診断支援プログラム及び内視鏡診断支援方法
US11100633B2 (en) 2018-06-13 2021-08-24 Cosmo Artificial Intelligence—Al Limited Systems and methods for processing real-time video from a medical image device and detecting objects in the video
US10810460B2 (en) 2018-06-13 2020-10-20 Cosmo Artificial Intelligence—AI Limited Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
US10929708B2 (en) 2018-12-10 2021-02-23 International Business Machines Corporation Deep learning network for salient region identification in images
EP3671660B1 (en) * 2018-12-20 2025-06-18 Dassault Systèmes Designing a 3d modeled object via user-interaction
CA3076646A1 (en) * 2019-03-22 2020-09-22 Royal Bank Of Canada System and method for generation of unseen composite data objects
US11216917B2 (en) 2019-05-03 2022-01-04 Amazon Technologies, Inc. Video enhancement using a neural network
US11210769B2 (en) 2019-05-03 2021-12-28 Amazon Technologies, Inc. Video enhancement using a recurrent image date of a neural network
US11017506B2 (en) * 2019-05-03 2021-05-25 Amazon Technologies, Inc. Video enhancement using a generator with filters of generative adversarial network
US11037025B2 (en) * 2019-05-30 2021-06-15 Baidu Usa Llc Systems and methods for adversarially robust object detection
US10671934B1 (en) * 2019-07-16 2020-06-02 DOCBOT, Inc. Real-time deployment of machine learning systems
US11080889B2 (en) * 2019-09-24 2021-08-03 Shanghai United Imaging Intelligence Co., Ltd. Methods and systems for providing guidance for adjusting an object based on similarity
JP7423237B2 (ja) * 2019-09-30 2024-01-29 キヤノン株式会社 画像処理装置、画像処理方法、プログラム
US11922656B2 (en) * 2019-11-25 2024-03-05 Accuray Incorporated Partial deformation maps for reconstructing motion-affected treatment dose using machine learning
US11551652B1 (en) 2019-11-27 2023-01-10 Amazon Technologies, Inc. Hands-on artificial intelligence education service
CN111000633B (zh) * 2019-12-20 2020-11-03 山东大学齐鲁医院 一种内镜诊疗操作过程的监控方法及系统
CN113128316B (zh) * 2020-01-15 2024-08-02 北京四维图新科技股份有限公司 目标检测方法及装置
US11620745B2 (en) * 2020-01-17 2023-04-04 Ping An Technology (Shenzhen) Co., Ltd. Method and system for harvesting lesion annotations
WO2021150889A1 (en) * 2020-01-24 2021-07-29 Genentech, Inc. Weakly supervised lesion segmentation
US12299948B2 (en) * 2020-02-03 2025-05-13 Cosmo Artificial Intelligence—AI Limited Systems and methods for contextual image analysis
CN113313133A (zh) * 2020-02-25 2021-08-27 武汉Tcl集团工业研究院有限公司 一种生成对抗网络的训练方法、动画图像生成方法
US11200462B2 (en) * 2020-03-04 2021-12-14 Matroid, Inc. Detecting content in a real-time video stream recorded by a detection unit
US12340484B2 (en) 2020-03-09 2025-06-24 Nvidia Corporation Techniques to use a neural network to expand an image
KR102476334B1 (ko) * 2020-04-22 2022-12-09 인하대학교 산학협력단 딥러닝 기반 일기 생성 방법 및 장치
JP7377159B2 (ja) * 2020-04-30 2023-11-09 株式会社デンソー 個体識別システム、個体識別プログラム、及び記録媒体
US11113525B1 (en) 2020-05-18 2021-09-07 X Development Llc Using empirical evidence to generate synthetic training data for plant detection
CN113743398B (zh) * 2020-05-29 2023-11-17 富泰华工业(深圳)有限公司 图像标识方法、装置、计算机装置及存储介质
US11640711B2 (en) * 2020-06-05 2023-05-02 Advanced Micro Devices, Inc. Automated artifact detection
US11398028B2 (en) * 2020-06-08 2022-07-26 X Development Llc Generating and using synthetic training data for plant disease detection
EP4120186A1 (en) * 2021-07-12 2023-01-18 Cosmo Artificial Intelligence - AI Limited Computer-implemented systems and methods for object detection and characterization
CN111881956B (zh) * 2020-07-15 2023-05-12 北京市商汤科技开发有限公司 网络训练方法及装置、目标检测方法及装置和电子设备
US20230274528A1 (en) * 2020-07-15 2023-08-31 Universidad Técnica Federico Santa Maria System and method for assisting with the diagnosis of otolaryngologic diseases from the analysis of images
US11961225B2 (en) 2020-07-21 2024-04-16 Iterative Scopes, Inc. Systems and methods for detecting potential malignancies
US11604947B2 (en) * 2020-08-26 2023-03-14 X Development Llc Generating quasi-realistic synthetic training data for use with machine learning models
US12272443B2 (en) * 2020-09-01 2025-04-08 Sony Group Corporation Medical information control system, signal processing device, and medical information control method
US11670072B2 (en) 2020-10-02 2023-06-06 Servicenow Canada Inc. Systems and computer-implemented methods for identifying anomalies in an object and training methods therefor
US12223422B2 (en) 2020-10-02 2025-02-11 Servicenow Canada Inc. Continuous training methods for systems identifying anomalies in an image of an object
US11100373B1 (en) 2020-11-02 2021-08-24 DOCBOT, Inc. Autonomous and continuously self-improving learning system
CN112308038B (zh) * 2020-11-25 2022-09-27 哈尔滨工业大学 基于课堂式生成对抗网络模型的机械设备故障信号识别方法
US12524677B2 (en) * 2021-01-25 2026-01-13 International Business Machines Corporation Generating unsupervised adversarial examples for machine learning
US11763135B2 (en) * 2021-03-01 2023-09-19 Robert Bosch Gmbh Concept-based adversarial generation method with steerable and diverse semantics
US12106550B2 (en) * 2021-04-05 2024-10-01 Nec Corporation Cell nuclei classification with artifact area avoidance
KR102513394B1 (ko) * 2021-05-10 2023-03-23 주식회사 씨앤에이아이 Gan을 이용한 합성 내시경 이미지 생성 장치 및 방법
CN113329000B (zh) * 2021-05-17 2023-01-10 山东大学 一种基于智能家居环境下的隐私保护和安全监测一体化系统
US12014479B2 (en) 2021-05-17 2024-06-18 Stryker Corporation Medical imaging
KR102766249B1 (ko) * 2021-05-21 2025-02-12 주식회사 아이넥스코퍼레이션 병변 검출을 위한 영상 학습 장치 및 방법
WO2022245191A1 (en) * 2021-05-21 2022-11-24 Endoai Co., Ltd. Method and apparatus for learning image for detecting lesions
TWI795787B (zh) * 2021-05-24 2023-03-11 鴻海精密工業股份有限公司 自編碼器的訓練方法、細胞數量檢測方法及相關設備
US12001512B2 (en) 2021-05-25 2024-06-04 Mineral Earth Sciences Llc Generating labeled synthetic training data
KR20220161672A (ko) * 2021-05-31 2022-12-07 자이메드 주식회사 설명 가능한 생체 이미지 판독 지원 장치 및 방법
EP4109463A1 (en) * 2021-06-24 2022-12-28 Siemens Healthcare GmbH Providing a second result dataset
CN113283849B (zh) * 2021-07-26 2021-11-02 山东建筑大学 基于视频上下文联系的物流异常智能检测方法
CN113658174B (zh) * 2021-09-02 2023-09-19 北京航空航天大学 基于深度学习和图像处理算法的微核组学图像检测方法
KR102477632B1 (ko) * 2021-11-12 2022-12-13 프로메디우스 주식회사 적대적 생성 신경망을 이용한 영상 학습 장치 및 방법
CN114298222B (zh) * 2021-12-29 2024-11-08 北京天融信网络安全技术有限公司 对象标注方法、装置、设备及介质
US12525006B2 (en) * 2023-08-04 2026-01-13 International Business Machines Corporation Spectral data augmentation for single domain generalization
US20250225400A1 (en) * 2024-01-05 2025-07-10 ProrataAI, Inc. Systems and methods for improving performance of a large language model by controlling training content

Family Cites Families (42)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7680307B2 (en) * 2005-04-05 2010-03-16 Scimed Life Systems, Inc. Systems and methods for image segmentation with a multi-stage classifier
EP2054852B1 (en) 2006-08-21 2010-06-23 STI Medical Systems, LLC Computer aided analysis using video from endoscopes
EP2068281A1 (en) * 2007-11-28 2009-06-10 Dublin City University A method for detecting flat polyps in the colon
US10013638B2 (en) * 2008-08-14 2018-07-03 Ping Zhang Cancer diagnostic method and system
EP2478423A1 (en) * 2009-09-17 2012-07-25 Siemens Aktiengesellschaft Supervised fault learning using rule-generated samples for machine condition monitoring
US20110301447A1 (en) 2010-06-07 2011-12-08 Sti Medical Systems, Llc Versatile video interpretation, visualization, and management system
US20150374210A1 (en) * 2013-03-13 2015-12-31 Massachusetts Institute Of Technology Photometric stereo endoscopy
US9700219B2 (en) * 2013-10-17 2017-07-11 Siemens Healthcare Gmbh Method and system for machine learning based assessment of fractional flow reserve
KR20150049585A (ko) 2013-10-30 2015-05-08 삼성전자주식회사 용종 검출 장치 및 그 동작방법
ES2880316T3 (es) 2014-08-29 2021-11-24 Google Llc Procesamiento de imágenes mediante redes neuronales profundas
US9700213B2 (en) 2014-09-12 2017-07-11 Mayo Foundation For Medical Education And Research System and method for automatic polyp detection using global geometric constraints and local intensity variation patterns
JP6726734B2 (ja) * 2015-03-26 2020-07-22 アイコー,エルエルシー 画像解析のためのシステム
US10055843B2 (en) 2015-03-31 2018-08-21 Mayo Foundation For Medical Education And Research System and methods for automatic polyp detection using convulutional neural networks
CN108292366B (zh) 2015-09-10 2022-03-18 美基蒂克艾尔有限公司 在内窥镜手术中检测可疑组织区域的系统和方法
US9959468B2 (en) 2015-11-06 2018-05-01 The Boeing Company Systems and methods for object tracking and classification
US10007867B2 (en) 2016-04-04 2018-06-26 Google Llc Systems and methods for identifying entities directly from imagery
KR102155261B1 (ko) 2016-04-13 2020-09-11 구글 엘엘씨 광역 및 심층 기계 학습 모델들
US10395356B2 (en) 2016-05-25 2019-08-27 Kla-Tencor Corp. Generating simulated images from input images for semiconductor applications
US10346740B2 (en) * 2016-06-01 2019-07-09 Kla-Tencor Corp. Systems and methods incorporating a neural network and a forward physical model for semiconductor applications
US10380429B2 (en) 2016-07-11 2019-08-13 Google Llc Methods and systems for person detection in a video feed
US11024009B2 (en) * 2016-09-15 2021-06-01 Twitter, Inc. Super resolution using a generative adversarial network
JP2018063504A (ja) * 2016-10-12 2018-04-19 株式会社リコー 生成モデル学習方法、装置及びプログラム
US10074038B2 (en) 2016-11-23 2018-09-11 General Electric Company Deep learning medical systems and methods for image reconstruction and quality evaluation
CN110049709B (zh) 2016-12-07 2022-01-11 奥林巴斯株式会社 图像处理装置
CN110381807B (zh) 2017-03-03 2022-01-18 富士胶片株式会社 内窥镜系统、处理器装置及内窥镜系统的工作方法
CN110461210A (zh) 2017-03-30 2019-11-15 富士胶片株式会社 内窥镜系统及其工作方法
CN110663251B (zh) 2017-06-02 2021-12-31 富士胶片株式会社 医疗图像处理装置
CN107256552B (zh) 2017-06-14 2020-08-18 成都微识医疗设备有限公司 息肉图像识别系统及方法
US11055843B2 (en) 2017-06-14 2021-07-06 Electronics And Telecommunications Research Institute Capsule endoscope for determining lesion area and receiving device
CN107451994A (zh) 2017-07-25 2017-12-08 宸盛科华(北京)科技有限公司 基于生成对抗网络的物体检测方法及装置
CN107451619A (zh) 2017-08-11 2017-12-08 深圳市唯特视科技有限公司 一种基于感知生成对抗网络的小目标检测方法
SG11202003973VA (en) 2017-10-30 2020-05-28 Japanese Found For Cancer Res Image diagnosis assistance apparatus, data collection method, image diagnosis assistance method, and image diagnosis assistance program
WO2019102043A1 (en) * 2017-11-27 2019-05-31 Deciphex Automated screening of histopathology tissue samples via analysis of a normal model
US10540578B2 (en) * 2017-12-21 2020-01-21 International Business Machines Corporation Adapting a generative adversarial network to new data sources for image classification
US11011275B2 (en) 2018-02-12 2021-05-18 Ai.Skopy, Inc. System and method for diagnosing gastrointestinal neoplasm
US10841514B2 (en) 2018-03-20 2020-11-17 Endovigilant Inc Endoscopy video feature enhancement platform
US10878569B2 (en) * 2018-03-28 2020-12-29 International Business Machines Corporation Systems and methods for automatic detection of an indication of abnormality in an anatomical image
JP2019180966A (ja) 2018-04-13 2019-10-24 学校法人昭和大学 内視鏡観察支援装置、内視鏡観察支援方法、及びプログラム
US11100633B2 (en) 2018-06-13 2021-08-24 Cosmo Artificial Intelligence—Al Limited Systems and methods for processing real-time video from a medical image device and detecting objects in the video
US10810460B2 (en) 2018-06-13 2020-10-20 Cosmo Artificial Intelligence—AI Limited Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
JP7017198B2 (ja) 2018-06-22 2022-02-08 株式会社Aiメディカルサービス 消化器官の内視鏡画像による疾患の診断支援方法、診断支援システム、診断支援プログラム及びこの診断支援プログラムを記憶したコンピュータ読み取り可能な記録媒体
JP7549532B2 (ja) 2018-08-17 2024-09-11 富士フイルム株式会社 内視鏡システム

Also Published As

Publication number Publication date
JP2021527549A (ja) 2021-10-14
EP3762868A1 (en) 2021-01-13
US10810460B2 (en) 2020-10-20
BR112020025390A8 (pt) 2022-03-08
AR115522A1 (es) 2021-01-27
US11195052B2 (en) 2021-12-07
TWI793337B (zh) 2023-02-21
AU2024205765A1 (en) 2024-09-12
SG11202012374WA (en) 2021-01-28
IL325001A (en) 2026-01-01
IL316828B1 (en) 2025-09-01
IL279416A (en) 2021-01-31
CN118736374A (zh) 2024-10-01
AR132633A2 (es) 2025-07-16
JP7455821B2 (ja) 2024-03-26
US12321420B2 (en) 2025-06-03
AU2019286544A1 (en) 2021-01-14
KR20240160649A (ko) 2024-11-11
US20240303299A1 (en) 2024-09-12
CN112543941A (zh) 2021-03-23
AR132632A2 (es) 2025-07-16
IL316828A (en) 2025-01-01
US20200226423A1 (en) 2020-07-16
KR102826170B1 (ko) 2025-06-30
KR20210032951A (ko) 2021-03-25
CN112543941B (zh) 2025-01-10
MX2024004583A (es) 2024-04-30
TW202018586A (zh) 2020-05-16
EP3582143A1 (en) 2019-12-18
US12158924B2 (en) 2024-12-03
ZA202007745B (en) 2022-03-30
US20190385018A1 (en) 2019-12-19
AU2019286544B2 (en) 2024-10-10
MX2020013412A (es) 2021-04-13
US20210133507A1 (en) 2021-05-06
CA3103316A1 (en) 2019-12-19
WO2019238712A1 (en) 2019-12-19
IL316828B2 (en) 2026-01-01
JP2024075635A (ja) 2024-06-04
BR112020025390A2 (pt) 2021-03-09

Similar Documents

Publication Publication Date Title
AR128530A2 (es) Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas
MX2018015394A (es) Sistema y metodo para la deteccion automatica, localizacion y segmentacion semantica de objetos anatomicos.
AR116766A1 (es) Técnicas de aprendizaje automático para identificar nubes y sombras de nubes en imágenes satelitales
MX2020012537A (es) Metodos y aparato de iman b0 para un sistema de formacion de imagenes por resonancia magnetica.
BR112018076704A2 (pt) método, dispositivo sem fio, e, nó de rede
CL2019003229A1 (es) Método y sistema de obtención de imágenes hiperespectrales subacuáticas de peces.
BR112014027751A8 (pt) Dispositivo, sistema e método de comunicação durante um período de treinamento de formatação de feixes de associação (a-bft)
MX2019006829A (es) Sistemas y procedimientos de representacion de imagenes a traves de dispositivos multiples.
MX2017000688A (es) Deteccion de peatones con mapas de prominencia.
BR112015016147A2 (pt) protocolo de agressor ativo para despacho de emergência
MX2018002300A (es) Metodo para transmitir secuencia de campo de entrenamiento largo de alta eficiencia (he - ltf) y aparato.
MX2018008104A (es) Identificacion de entidades utilizando un modelo de aprendizaje profundo.
CL2019003762A1 (es) Método y dispositivo de comunicación inalámbrica.
MX2020004068A (es) Sistemas y métodos para el seguimiento de portadores de bienes.
AR111022A1 (es) Nodo de red, dispositivo inalámbrico y métodos realizados en los mismos para la gestión de posicionamiento del dispositivo inalámbrico
CO2018005172A2 (es) Sistema para el control integral de pasajeros y equipaje
MX2017014659A (es) Metodos y sistemas para la deteccion de variantes del numero de copias.
BR112016029087A2 (pt) sistema e método
BR112019006961A2 (pt) informe de realimentação de informação de estado de canal (csi) por um equipamento de usuário
MX2021002247A (es) Metodo y aparato de transmision de datos y terminal.
BR112016025115A2 (pt) procedimento bssid múltiplo com codificação tim
CL2018001576A1 (es) Sistemas y métodos para analizar colores de una plataforma de medios sociales
AR114217A1 (es) Prioridad de selección de haz
MX2018011454A (es) Sistemas y metodos para identificar contenido coincidente.
MX2020007065A (es) Metodo para transmitir datos en internet de vehiculos, dispositivo terminal y dispositivo de red.