[go: up one dir, main page]

GB201003188D0 - Image classification - Google Patents

Image classification

Info

Publication number
GB201003188D0
GB201003188D0 GBGB1003188.8A GB201003188A GB201003188D0 GB 201003188 D0 GB201003188 D0 GB 201003188D0 GB 201003188 A GB201003188 A GB 201003188A GB 201003188 D0 GB201003188 D0 GB 201003188D0
Authority
GB
United Kingdom
Prior art keywords
score
nuclei
parameters
image
ducts
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
GBGB1003188.8A
Other versions
GB2478133A (en
GB2478133B (en
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute for Medical Informatics
Original Assignee
Institute for Medical Informatics
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 Institute for Medical Informatics filed Critical Institute for Medical Informatics
Priority to GB1003188.8A priority Critical patent/GB2478133B/en
Publication of GB201003188D0 publication Critical patent/GB201003188D0/en
Publication of GB2478133A publication Critical patent/GB2478133A/en
Application granted granted Critical
Publication of GB2478133B publication Critical patent/GB2478133B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G06K9/00147—
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/64—Analysis of geometric attributes of convexity or concavity
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/196—Recognition using electronic means using sequential comparisons of the image signals with a plurality of references
    • G06V30/1983—Syntactic or structural pattern recognition, e.g. symbolic string recognition
    • G06V30/1988—Graph matching
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10056—Microscopic image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20036—Morphological image processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20072—Graph-based image processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20152—Watershed segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geometry (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Medical Informatics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

The method automatically analyses an image of a tissue sample to obtain a score that indicates the likelihood of the presence of disease. The score could be the well-known Gleason grade. The method finds particular application to prostate cancer. The image is segmented to identify ducts and to identify nuclei. Parameters are calculated from the segmented images. In the case of the nuclei, a minimum spanning tree graph may be calculated using the nuclei as nodes and the parameters may be properties of the minimum spanning tree graphs. In the case of the ducts, parameters relate to shape or morphometry and could include duct area, convexity and perimeter. The score may be assigned using a classifier perhaps based on linear discriminant analysis.
GB1003188.8A 2010-02-25 2010-02-25 Image classification Expired - Fee Related GB2478133B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB1003188.8A GB2478133B (en) 2010-02-25 2010-02-25 Image classification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB1003188.8A GB2478133B (en) 2010-02-25 2010-02-25 Image classification

Publications (3)

Publication Number Publication Date
GB201003188D0 true GB201003188D0 (en) 2010-04-14
GB2478133A GB2478133A (en) 2011-08-31
GB2478133B GB2478133B (en) 2015-02-18

Family

ID=42125618

Family Applications (1)

Application Number Title Priority Date Filing Date
GB1003188.8A Expired - Fee Related GB2478133B (en) 2010-02-25 2010-02-25 Image classification

Country Status (1)

Country Link
GB (1) GB2478133B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116342680A (en) * 2023-03-27 2023-06-27 北京赛迈特锐医疗科技有限公司 Method and device for calculating tubular parameters

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105956607B (en) * 2016-04-22 2019-05-28 南京师范大学 A kind of improved hyperspectral image classification method
CN109271919B (en) * 2018-09-12 2022-11-01 海南省海洋与渔业科学院 Vegetation coverage measuring method based on grb and grid mode

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7461048B2 (en) * 2003-07-21 2008-12-02 Aureon Laboratories, Inc. Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition
WO2006020627A1 (en) * 2004-08-11 2006-02-23 Aureon Laboratories, Inc. Systems and methods for automated diagnosis and grading of tissue images
JP5387146B2 (en) * 2009-06-03 2014-01-15 日本電気株式会社 Pathological tissue image analysis apparatus, pathological tissue image analysis method, pathological tissue image analysis program

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116342680A (en) * 2023-03-27 2023-06-27 北京赛迈特锐医疗科技有限公司 Method and device for calculating tubular parameters

Also Published As

Publication number Publication date
GB2478133A (en) 2011-08-31
GB2478133B (en) 2015-02-18

Similar Documents

Publication Publication Date Title
Liang et al. Genetic algorithm with adaptive elitist-population strategies for multimodal function optimization
WO2014190286A3 (en) Methods and processes for non-invasive assessment of genetic variations
WO2013059197A3 (en) Egress based map region classification
WO2015006343A3 (en) Note recognition and management using color classification
EP2806373A3 (en) Image processing system and method of improving human face recognition
EP2698740A3 (en) Method of identifying a tracked object for use in processing hyperspectral data
GB201312856D0 (en) Malware Detection
EP4129061A3 (en) Systems, apparatus and methods for analyzing blood cell dynamics
AR075807A1 (en) SYSTEM AND METHOD FOR IDENTIFYING TREES THROUGH "LIDAR" TREE MODELS
WO2014080305A3 (en) Integrated phenotyping employing image texture features
WO2016015058A3 (en) Methods of determining tissues and/or cell types giving rise to cell-free dna, and methods of identifying a disease or disorder using same
WO2012094637A3 (en) Methods and systems for modifying a parameter of an automated procedure
HK1220472A1 (en) Neuroactive steroids, compositions, and uses thereof
EP2551820A3 (en) Image processing device, image processing method and image processing program
BR112012003718A2 (en) background template for complex and dynamic scenes
EP3178944A3 (en) Method to use gene expression to determine likelihood of clinical outcome of renal cancer
EP3683321A3 (en) Methods relating to circulating tumor cell clusters and the treatment of cancer
EP3318878A3 (en) Prostate antigen standards and uses thereof
BR112014025520A2 (en) method for estimating characteristics of a formation
WO2007118219A3 (en) Biometric identification
IN2015DN00678A (en)
IN2014DN00132A (en)
EP2431918A3 (en) Graph lattice method for image clustering, classification, and repeated structure finding
EP2228735A3 (en) Efficient multi-dimensional suppression for k-anonymity
WO2011119868A3 (en) Hyper-spatial methods for modeling biological events

Legal Events

Date Code Title Description
PCNP Patent ceased through non-payment of renewal fee

Effective date: 20230225