AR128531A2 - Sistemas y métodos para procesar video en tiempo real desde un dispositivo de imágenes médicas y detección de objetos en el video - Google Patents
Sistemas y métodos para procesar video en tiempo real desde un dispositivo de imágenes médicas y detección de objetos en el videoInfo
- Publication number
- AR128531A2 AR128531A2 ARP230100353A ARP230100353A AR128531A2 AR 128531 A2 AR128531 A2 AR 128531A2 AR P230100353 A ARP230100353 A AR P230100353A AR P230100353 A ARP230100353 A AR P230100353A AR 128531 A2 AR128531 A2 AR 128531A2
- Authority
- AR
- Argentina
- Prior art keywords
- video
- bus
- real
- time
- imaging device
- Prior art date
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Abstract
La presente invención se refiere a sistemas y métodos para procesar video en tiempo real y detectar objetos en el video. En una implementación, se provee un sistema que incluye un puerto de entrada para recibir video en tiempo real obtenido de un dispositivo de imágenes médicas, un primer bus para transferir el video en tiempo real recibido, y por lo menos un procesador configurado para recibir el video en tiempo real del primer bus, ejecutar la detección de objetos aplicando una red neuronal entrenada sobre los cuadros del video recibido en tiempo real, y superponer un borde que indica una ubicación de por lo menos un objeto detectado en los cuadros. El sistema además incluye un segundo bus para recibir el video con el borde superpuesto, un puerto de salida para emitir el video con el borde superpuesto del segundo bus a una pantalla externa, y un tercer bus para transmitir directamente el video en tiempo real recibido al puerto de salida.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/008,015 US11100633B2 (en) | 2018-06-13 | 2018-06-13 | Systems and methods for processing real-time video from a medical image device and detecting objects in the video |
| EP18180572.2A EP3582137A1 (en) | 2018-06-13 | 2018-06-28 | Systems and methods for processing real-time video from a medical image device and detecting objects in the video |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AR128531A2 true AR128531A2 (es) | 2024-05-15 |
Family
ID=62841857
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| ARP190101605A AR115523A1 (es) | 2018-06-13 | 2019-06-11 | Sistemas y métodos para procesar vídeo en tiempo real desde un dispositivo de imágenes médicas y detección de objetos en el vídeo |
| ARP230100355A AR128533A2 (es) | 2018-06-13 | 2023-02-15 | Sistemas y métodos para procesar video en tiempo real desde un dispositivo de imágenes médicas y detección de objetos en el video |
| ARP230100353A AR128531A2 (es) | 2018-06-13 | 2023-02-15 | Sistemas y métodos para procesar video en tiempo real desde un dispositivo de imágenes médicas y detección de objetos en el video |
Family Applications Before (2)
| Application Number | Title | Priority Date | Filing Date |
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| ARP190101605A AR115523A1 (es) | 2018-06-13 | 2019-06-11 | Sistemas y métodos para procesar vídeo en tiempo real desde un dispositivo de imágenes médicas y detección de objetos en el vídeo |
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Families Citing this family (44)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10762669B2 (en) * | 2018-05-16 | 2020-09-01 | Adobe Inc. | Colorization of vector images |
| 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 |
| 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 |
| US10672174B2 (en) | 2018-06-28 | 2020-06-02 | Adobe Inc. | Determining image handle locations |
| US10621764B2 (en) | 2018-07-05 | 2020-04-14 | Adobe Inc. | Colorizing vector graphic objects |
| JP7253152B2 (ja) * | 2018-10-04 | 2023-04-06 | 日本電気株式会社 | 情報処理装置、情報処理方法、及びプログラム |
| US11538143B2 (en) * | 2018-10-26 | 2022-12-27 | Nec Corporation | Fully convolutional transformer based generative adversarial networks |
| EP3895121A1 (en) * | 2018-12-12 | 2021-10-20 | Koninklijke Philips N.V. | System and method for providing stroke lesion segmentation using conditional generative adversarial networks |
| EP3671660B1 (en) * | 2018-12-20 | 2025-06-18 | Dassault Systèmes | Designing a 3d modeled object via user-interaction |
| US10929669B2 (en) * | 2019-06-04 | 2021-02-23 | Magentiq Eye Ltd | Systems and methods for processing colon images and videos |
| CN111274426B (zh) * | 2020-01-19 | 2023-09-12 | 深圳市商汤科技有限公司 | 类别标注方法及装置、电子设备和存储介质 |
| US12299948B2 (en) * | 2020-02-03 | 2025-05-13 | Cosmo Artificial Intelligence—AI Limited | Systems and methods for contextual image analysis |
| WO2021168408A1 (en) | 2020-02-20 | 2021-08-26 | Smith & Nephew, Inc. | Methods for arthroscopic video analysis and devices therefor |
| CN113408321B (zh) * | 2020-03-16 | 2023-08-22 | 中国人民解放军战略支援部队信息工程大学 | 一种轻量级图像、视频数据的实时目标检测方法及装置 |
| EP4128149A1 (en) * | 2020-04-03 | 2023-02-08 | Smith&Nephew, Inc. | Methods for arthroscopic surgery video segmentation and devices therefor |
| CN115210821A (zh) | 2020-04-03 | 2022-10-18 | 史密夫和内修有限公司 | 用于关节镜中的数字标记的用户界面 |
| EP4135567A4 (en) * | 2020-04-13 | 2024-06-12 | Kaliber Labs Inc. | Systems and methods for computer-assisted shape measurements in video |
| WO2021211524A1 (en) * | 2020-04-13 | 2021-10-21 | Kaliber Labs Inc. | Systems and methods of computer-assisted landmark or fiducial placement in videos |
| CN115777115A (zh) * | 2020-06-08 | 2023-03-10 | 由退伍军人事务部代表的美国政府 | 用于确定对象图的方法和系统 |
| EP4120186A1 (en) * | 2021-07-12 | 2023-01-18 | Cosmo Artificial Intelligence - AI Limited | Computer-implemented systems and methods for object detection and characterization |
| US11961225B2 (en) | 2020-07-21 | 2024-04-16 | Iterative Scopes, Inc. | Systems and methods for detecting potential malignancies |
| WO2022031835A1 (en) * | 2020-08-05 | 2022-02-10 | Avesha, Inc. | Networked system for real-time computer-aided augmentation of live input video stream |
| US11896323B2 (en) | 2020-09-01 | 2024-02-13 | Aibolit Technologies, Llc | System, method, and computer-accessible medium for automatically tracking and/or identifying at least one portion of an anatomical structure during a medical procedure |
| US12525345B2 (en) * | 2020-12-04 | 2026-01-13 | Dignity Health | Systems and methods for detection of subject activity by processing video and other signals using artificial intelligence |
| KR102505791B1 (ko) * | 2021-01-11 | 2023-03-03 | 한림대학교 산학협력단 | 실시간 영상을 통해 획득되는 병변 판단 시스템의 제어 방법, 장치 및 프로그램 |
| CN113100783B (zh) * | 2021-02-23 | 2025-02-11 | 厦门大学 | 一种基于脑电运动想象的空域特征强化方法 |
| US12004966B2 (en) | 2021-04-12 | 2024-06-11 | Kaliber Labs Inc. | Systems and methods for using image analysis in superior capsule reconstruction |
| CN117546214A (zh) * | 2021-06-28 | 2024-02-09 | 直观外科手术操作公司 | 保护医疗程序中成像装置生成的视频流中的个人可识别内容 |
| KR102637484B1 (ko) * | 2021-10-26 | 2024-02-16 | 주식회사 카이미 | 인공지능 기반의 내시경 진단 보조 시스템 및 이의 제어방법 |
| KR102829020B1 (ko) * | 2021-11-25 | 2025-07-04 | 주식회사 아이디스 | 철도 재난 감시 시스템 |
| KR102765270B1 (ko) * | 2021-12-16 | 2025-02-07 | 재단법인 아산사회복지재단 | 의료영상 처리 장치와 그 의료영상 학습 방법 및 의료영상 처리 방법 |
| CN114547369B (zh) * | 2022-02-17 | 2025-10-31 | 上海连尚网络科技集团有限公司 | 一种用于提供视频的方法、设备、介质及程序产品 |
| US20230326172A1 (en) * | 2022-04-12 | 2023-10-12 | VAIM Technologies LLC | System and method for automatic tagging of images and video in an operative report |
| US12211229B2 (en) | 2022-06-07 | 2025-01-28 | Hong Kong Applied Science and Technology Research Institute Company Limited | Method, device, and system for detecting and tracking objects in captured video using convolutional neural network |
| CN115294128B (zh) * | 2022-10-08 | 2022-12-02 | 四川大学 | 一种用于消化内镜的单目结构三维成像方法及装置 |
| CN115965602B (zh) * | 2022-12-29 | 2025-11-25 | 河海大学 | 一种基于改进的YOLOv7和Swin-Unet的异常细胞检测方法 |
| US12316965B2 (en) | 2023-02-27 | 2025-05-27 | Cilag Gmbh International | Adaptive overlay stabilization of false color overlay heatmaps |
| US20240289947A1 (en) * | 2023-02-27 | 2024-08-29 | Cilag Gmbh International | False color overlay heatmaps with adjustable sensitivity settings |
| WO2024180445A1 (en) * | 2023-02-27 | 2024-09-06 | Cilag Gmbh International | Adaptive overlay stabilization of false color overlay heatmaps |
| US12367577B2 (en) * | 2023-03-02 | 2025-07-22 | CapsoVision, Inc. | System and method for reviewing capsule images with detected regions of interest |
| WO2025027583A1 (en) * | 2023-08-03 | 2025-02-06 | Assistiq Technologies Inc. | Method and system for identifying a medical disposable product |
| WO2025090750A1 (en) * | 2023-10-25 | 2025-05-01 | Covidien Lp | Graphic user interface having dynamic spatial indicators of images in a sequence |
| US20250148669A1 (en) * | 2023-11-07 | 2025-05-08 | Clarius Mobile Health Corp. | Method and system of creating and displaying a visually distinct rendering of an ultrasound image |
| 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 (74)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7194117B2 (en) * | 1999-06-29 | 2007-03-20 | The Research Foundation Of State University Of New York | System and method for performing a three-dimensional virtual examination of objects, such as internal organs |
| US6578017B1 (en) * | 1999-02-26 | 2003-06-10 | Information Decision Technologies, Llc | Method to aid object detection in images by incorporating contextual information |
| US7529394B2 (en) * | 2003-06-27 | 2009-05-05 | Siemens Medical Solutions Usa, Inc. | CAD (computer-aided decision) support for medical imaging using machine learning to adapt CAD process with knowledge collected during routine use of CAD system |
| US20060045312A1 (en) * | 2004-08-27 | 2006-03-02 | Bernstein Daniel B | Image comparison device for providing real-time feedback |
| US7702599B2 (en) * | 2004-10-07 | 2010-04-20 | Bernard Widrow | System and method for cognitive memory and auto-associative neural network based pattern recognition |
| US7492821B2 (en) * | 2005-02-08 | 2009-02-17 | International Business Machines Corporation | System and method for selective image capture, transmission and reconstruction |
| 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 |
| WO2008073366A2 (en) * | 2006-12-08 | 2008-06-19 | Sobayli, Llc | Target object recognition in images and video |
| US20090034810A1 (en) * | 2007-08-03 | 2009-02-05 | Fujifilm Corporation | Abnormal tissue pattern detection apparatus, method and program |
| EP2068281A1 (en) | 2007-11-28 | 2009-06-10 | Dublin City University | A method for detecting flat polyps in the colon |
| US8995758B1 (en) | 2008-06-20 | 2015-03-31 | Google Inc. | Classifying false positive descriptors |
| US8213700B2 (en) * | 2009-03-31 | 2012-07-03 | Icad, Inc. | Systems and methods for identifying suspicious anomalies using information from a plurality of images of an anatomical colon under study |
| EP2478423A1 (en) | 2009-09-17 | 2012-07-25 | Siemens Aktiengesellschaft | Supervised fault learning using rule-generated samples for machine condition monitoring |
| US9401047B2 (en) * | 2010-04-15 | 2016-07-26 | Siemens Medical Solutions, Usa, Inc. | Enhanced visualization of medical image data |
| KR101708726B1 (ko) * | 2010-04-28 | 2017-02-21 | 기븐 이미징 리미티드 | 생체내 영상들 일부 표시 시스템 및 방법 |
| US20110301447A1 (en) * | 2010-06-07 | 2011-12-08 | Sti Medical Systems, Llc | Versatile video interpretation, visualization, and management system |
| KR20140091176A (ko) * | 2013-01-10 | 2014-07-21 | 삼성전자주식회사 | 병변 진단 장치 및 방법 |
| BR112015021807A2 (pt) * | 2013-03-15 | 2017-07-18 | Seno Medical Instr Inc | sistema e método de apoio para classificação de vetor de diagnóstico |
| KR20150049585A (ko) * | 2013-10-30 | 2015-05-08 | 삼성전자주식회사 | 용종 검출 장치 및 그 동작방법 |
| US10109377B2 (en) * | 2013-12-03 | 2018-10-23 | Cura Technologies Inc. | System and method for facilitating delivery of patient-care |
| US9342881B1 (en) * | 2013-12-31 | 2016-05-17 | Given Imaging Ltd. | System and method for automatic detection of in vivo polyps in video sequences |
| WO2015164768A1 (en) * | 2014-04-24 | 2015-10-29 | Arizona Board Of Regents On Behalf Of Arizona State University | System and method for detecting polyps from learned boundaries |
| 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 |
| JP6285373B2 (ja) * | 2015-02-06 | 2018-02-28 | 富士フイルム株式会社 | 内視鏡システム、プロセッサ装置、及び内視鏡システムの作動方法 |
| 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 |
| US10861151B2 (en) * | 2015-08-07 | 2020-12-08 | The Arizona Board Of Regents On Behalf Of Arizona State University | Methods, systems, and media for simultaneously monitoring colonoscopic video quality and detecting polyps in colonoscopy |
| 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 |
| WO2017055412A1 (en) * | 2015-09-30 | 2017-04-06 | Siemens Healthcare Gmbh | Method and system for classification of endoscopic images using deep decision networks |
| US9959468B2 (en) * | 2015-11-06 | 2018-05-01 | The Boeing Company | Systems and methods for object tracking and classification |
| GB201521848D0 (en) * | 2015-12-11 | 2016-01-27 | Micromass Ltd | Feedback apparatus |
| JP6952696B2 (ja) * | 2015-12-16 | 2021-10-20 | キヤノン ユーエスエイ, インコーポレイテッドCanon U.S.A., Inc | 医療ガイダンス装置 |
| 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 |
| US11210777B2 (en) * | 2016-04-28 | 2021-12-28 | Blancco Technology Group IP Oy | System and method for detection of mobile device fault conditions |
| EP3452959B1 (en) * | 2016-05-02 | 2023-01-25 | Scopito ApS | Model construction in a neural network for object detection |
| WO2017201494A1 (en) * | 2016-05-19 | 2017-11-23 | Avantis Medical Systems, Inc. | Methods for polyp detection |
| US10970887B2 (en) * | 2016-06-24 | 2021-04-06 | Rensselaer Polytechnic Institute | Tomographic image reconstruction via machine learning |
| US10037471B2 (en) * | 2016-07-05 | 2018-07-31 | Nauto Global Limited | System and method for image analysis |
| JP6947759B2 (ja) * | 2016-07-08 | 2021-10-13 | アヴェント インコーポレイテッド | 解剖学的対象物を自動的に検出、位置特定、及びセマンティックセグメンテーションするシステム及び方法 |
| US10380429B2 (en) | 2016-07-11 | 2019-08-13 | Google Llc | Methods and systems for person detection in a video feed |
| US10460256B2 (en) * | 2016-08-09 | 2019-10-29 | Microsot Technology Licensing, LLC | Interactive performance visualization of multi-class classifier |
| US10504004B2 (en) * | 2016-09-16 | 2019-12-10 | General Dynamics Mission Systems, Inc. | Systems and methods for deep model translation generation |
| JP6710284B2 (ja) * | 2016-10-12 | 2020-06-17 | オリンパス株式会社 | 挿入システム |
| CN109069100B (zh) * | 2016-11-09 | 2022-10-21 | 深圳市理邦精密仪器股份有限公司 | 超声成像系统及其方法 |
| 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 |
| US10475174B2 (en) | 2017-04-06 | 2019-11-12 | General Electric Company | Visual anomaly detection system |
| WO2018192672A1 (en) | 2017-04-19 | 2018-10-25 | Siemens Healthcare Gmbh | Target detection in latent space |
| US10140421B1 (en) * | 2017-05-25 | 2018-11-27 | Enlitic, Inc. | Medical scan annotator system |
| CN110663251B (zh) | 2017-06-02 | 2021-12-31 | 富士胶片株式会社 | 医疗图像处理装置 |
| US10242292B2 (en) * | 2017-06-13 | 2019-03-26 | Digital Surgery Limited | Surgical simulation for training detection and classification neural networks |
| 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 |
| US10706534B2 (en) | 2017-07-26 | 2020-07-07 | Scott Anderson Middlebrooks | Method and apparatus for classifying a data point in imaging data |
| 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 |
| CN111278349B (zh) | 2017-10-26 | 2023-03-24 | 富士胶片株式会社 | 医疗图像处理装置 |
| 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 |
| US10540578B2 (en) | 2017-12-21 | 2020-01-21 | International Business Machines Corporation | Adapting a generative adversarial network to new data sources for image classification |
| US10592779B2 (en) * | 2017-12-21 | 2020-03-17 | International Business Machines Corporation | Generative adversarial network medical image generation for training of a classifier |
| US11011275B2 (en) * | 2018-02-12 | 2021-05-18 | Ai.Skopy, Inc. | System and method for diagnosing gastrointestinal neoplasm |
| US11132792B2 (en) | 2018-02-22 | 2021-09-28 | Siemens Healthcare Gmbh | Cross domain medical image segmentation |
| 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 |
| EP3776458B1 (en) * | 2018-04-12 | 2022-05-04 | Google LLC | Augmented reality microscope for pathology with overlay of quantitative biomarker data |
| US10892050B2 (en) * | 2018-04-13 | 2021-01-12 | International Business Machines Corporation | Deep image classification of medical images |
| 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 |
| 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 |
| 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 |
| 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 |
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2020
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2021
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2023
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