GB201003188D0 - Image classification - Google Patents
Image classificationInfo
- 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
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G06K9/00147—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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.
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) |
Families Citing this family (2)
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)
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 |
-
2010
- 2010-02-25 GB GB1003188.8A patent/GB2478133B/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
GB2478133B (en) | 2015-02-18 |
GB2478133A (en) | 2011-08-31 |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
PCNP | Patent ceased through non-payment of renewal fee |
Effective date: 20230225 |