IL274101A - Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning - Google Patents

Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning

Info

Publication number
IL274101A
IL274101A IL274101A IL27410120A IL274101A IL 274101 A IL274101 A IL 274101A IL 274101 A IL274101 A IL 274101A IL 27410120 A IL27410120 A IL 27410120A IL 274101 A IL274101 A IL 274101A
Authority
IL
Israel
Prior art keywords
learning
deep
detecting
slide images
molecular subtypes
Prior art date
Application number
IL274101A
Other languages
Hebrew (he)
Original Assignee
Nantomics Llc
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 Nantomics Llc filed Critical Nantomics Llc
Publication of IL274101A publication Critical patent/IL274101A/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT 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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20—Supervised data analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
    • A61B10/0041—Detection of breast cancer
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Radiology & Medical Imaging (AREA)
  • Theoretical Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Evolutionary Biology (AREA)
  • Artificial Intelligence (AREA)
  • Bioethics (AREA)
  • Biophysics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Molecular Biology (AREA)
  • Oncology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Image Analysis (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
IL274101A 2017-11-30 2020-04-21 Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning IL274101A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762593224P 2017-11-30 2017-11-30
US201862656918P 2018-04-12 2018-04-12
PCT/US2018/062911 WO2019108695A1 (en) 2017-11-30 2018-11-28 Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning

Publications (1)

Publication Number Publication Date
IL274101A true IL274101A (en) 2020-06-30

Family

ID=66665290

Family Applications (1)

Application Number Title Priority Date Filing Date
IL274101A IL274101A (en) 2017-11-30 2020-04-21 Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning

Country Status (7)

Country Link
KR (1) KR20200066732A (en)
AU (1) AU2018374207A1 (en)
CA (1) CA3079438A1 (en)
IL (1) IL274101A (en)
SG (1) SG11202003330PA (en)
TW (1) TWI689944B (en)
WO (1) WO2019108695A1 (en)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110246579B (en) * 2019-06-13 2023-06-09 西安九清生物科技有限公司 Pathological diagnosis method and device
CN110532408A (en) * 2019-08-28 2019-12-03 广州金域医学检验中心有限公司 Pathological section management method, device, computer equipment and storage medium
TWI701638B (en) * 2019-09-20 2020-08-11 國立中興大學 Learning technique of mechanical application on automatic optical inspection system
EP4097636A1 (en) * 2020-01-28 2022-12-07 PAIGE.AI, Inc. Systems and methods for processing electronic images for computational detection methods
TWI744798B (en) * 2020-02-13 2021-11-01 國立陽明交通大學 Evaluation method and system of neuropsychiatric diseases based on brain imaging
CN111507381B (en) * 2020-03-31 2024-04-02 上海商汤智能科技有限公司 Image recognition method, related device and equipment
EP4182837A1 (en) * 2020-07-15 2023-05-24 Genentech, Inc. Assessing heterogeneity of features in digital pathology images using machine learning techniques
KR102437193B1 (en) 2020-07-31 2022-08-30 동국대학교 산학협력단 Apparatus and method for parallel deep neural networks trained by resized images with multiple scaling factors
KR102304370B1 (en) 2020-09-18 2021-09-24 동국대학교 산학협력단 Apparatus and method of analyzing status and change of wound area based on deep learning
TWI800840B (en) * 2020-10-18 2023-05-01 美商醫乘智慧有限公司 Method and system to obtain cytology image in cytopathology
TWI815057B (en) * 2020-11-11 2023-09-11 臺北醫學大學 Visualization methods for cancer lesions
US11610306B2 (en) 2020-12-16 2023-03-21 Industrial Technology Research Institute Medical image analysis method and device
CN113903400A (en) * 2021-10-29 2022-01-07 复旦大学附属华山医院 Classification method and system of molecular typing and subtype classifier of immune-related diseases
TWI781027B (en) * 2021-12-22 2022-10-11 國立臺南大學 Neural network system for staining images and image staining conversion method
CN115330778B (en) * 2022-10-13 2023-03-10 浙江华是科技股份有限公司 Substation target detection network model training method and system

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7761240B2 (en) * 2004-08-11 2010-07-20 Aureon Laboratories, Inc. Systems and methods for automated diagnosis and grading of tissue images
TWI399194B (en) * 2011-01-25 2013-06-21 Univ Nat Yunlin Sci & Tech Semi-automatic knee cartilage mri image segmentation based on cellular automata
CA2944829C (en) * 2014-05-23 2022-10-25 Ting Chen Systems and methods for detection of biological structures and/or patterns in images
WO2015189264A1 (en) * 2014-06-10 2015-12-17 Ventana Medical Systems, Inc. Predicting breast cancer recurrence directly from image features computed from digitized immunohistopathology tissue slides
US9836839B2 (en) * 2015-05-28 2017-12-05 Tokitae Llc Image analysis systems and related methods
US10049770B2 (en) * 2015-12-30 2018-08-14 Case Western Reserve University Prediction of recurrence of non-small cell lung cancer

Also Published As

Publication number Publication date
AU2018374207A1 (en) 2020-04-30
CA3079438A1 (en) 2019-06-06
TW201926359A (en) 2019-07-01
WO2019108695A1 (en) 2019-06-06
SG11202003330PA (en) 2020-05-28
KR20200066732A (en) 2020-06-10
TWI689944B (en) 2020-04-01

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