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SG11202000842SA - Few-shot learning based image recognition of whole slide image at tissue level - Google Patents

Few-shot learning based image recognition of whole slide image at tissue level

Info

Publication number
SG11202000842SA
SG11202000842SA SG11202000842SA SG11202000842SA SG11202000842SA SG 11202000842S A SG11202000842S A SG 11202000842SA SG 11202000842S A SG11202000842S A SG 11202000842SA SG 11202000842S A SG11202000842S A SG 11202000842SA SG 11202000842S A SG11202000842S A SG 11202000842SA
Authority
SG
Singapore
Prior art keywords
few
learning based
tissue level
whole slide
shot learning
Prior art date
Application number
SG11202000842SA
Inventor
Bing Song
Mustafa Jaber
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 SG11202000842SA publication Critical patent/SG11202000842SA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • 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
    • 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
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • 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
    • G06T2207/20081—Training; Learning
    • 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
    • G06T2207/20084—Artificial neural networks [ANN]
    • 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
    • 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
    • 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
    • G06T2207/30096—Tumor; Lesion

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Databases & Information Systems (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Analysis (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
SG11202000842SA 2017-09-12 2018-09-12 Few-shot learning based image recognition of whole slide image at tissue level SG11202000842SA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762557737P 2017-09-12 2017-09-12
PCT/US2018/050737 WO2019055555A1 (en) 2017-09-12 2018-09-12 Few-shot learning based image recognition of whole slide image at tissue level

Publications (1)

Publication Number Publication Date
SG11202000842SA true SG11202000842SA (en) 2020-02-27

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202000842SA SG11202000842SA (en) 2017-09-12 2018-09-12 Few-shot learning based image recognition of whole slide image at tissue level

Country Status (9)

Country Link
EP (1) EP3682419A4 (en)
JP (1) JP7061671B2 (en)
KR (1) KR102382401B1 (en)
CN (2) CN111316317B (en)
AU (1) AU2018332879A1 (en)
CA (1) CA3072108A1 (en)
IL (1) IL272431A (en)
SG (1) SG11202000842SA (en)
WO (1) WO2019055555A1 (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11195062B2 (en) 2018-11-15 2021-12-07 Nantomics, Llc Classification based on characterization analysis methods and systems
KR102495367B1 (en) * 2020-04-21 2023-02-01 재단법인대구경북과학기술원 Multiple instance learning for histopathology classification
US11810312B2 (en) 2020-04-21 2023-11-07 Daegu Gyeongbuk Institute Of Science And Technology Multiple instance learning method
US11830621B2 (en) * 2020-05-29 2023-11-28 Dartmouth-Hitchcock Clinic System and method for rapid and accurate histologic analysis of tumor margins using machine learning
WO2022025282A1 (en) * 2020-07-31 2022-02-03 ＴｅｃｈＭａｇｉｃ株式会社 Learning control system
CN113192026B (en) * 2021-04-28 2023-08-04 北京林业大学 Walnut maturity detection and prediction method based on visible light image
KR102481191B1 (en) * 2022-03-28 2022-12-26 주식회사 에이비스 Method for high speed analysing medical image using deep learning
WO2023188776A1 (en) 2022-03-29 2023-10-05 富士フイルム株式会社 Information processing device, method for operating information processing device, and program for operating information processing device
KR20240138030A (en) * 2023-03-09 2024-09-20 주식회사 Lg 경영개발원 Method and system of patch feature learning for anomaly detection

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CA2500805A1 (en) * 2002-09-13 2004-03-25 Arcturus Bioscience, Inc. Interactive and automated tissue image analysis
US8170330B2 (en) * 2007-10-30 2012-05-01 Siemens Aktiengesellschaft Machine learning for tissue labeling segmentation
JP5919287B2 (en) * 2010-10-25 2016-05-18 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． System for segmentation of medical images
CN105027165B (en) * 2013-03-15 2021-02-19 文塔纳医疗系统公司 Tissue object-based machine learning system for automated scoring of digital whole slides
CN106030608A (en) * 2013-11-06 2016-10-12 理海大学 Diagnostic system and method for biological tissue analysis
WO2015177268A1 (en) * 2014-05-23 2015-11-26 Ventana Medical Systems, Inc. Systems and methods for detection of biological structures and/or patterns in images
EP3207499A4 (en) * 2014-10-17 2018-09-19 Cireca Theranostics, LLC Methods and systems for classifying biological samples, including optimization of analyses and use of correlation
CN104573742B (en) * 2014-12-30 2018-03-23 中国科学院深圳先进技术研究院 Classification method of medical image and system
CN104933711B (en) * 2015-06-10 2017-09-29 南通大学 A kind of automatic fast partition method of cancer pathology image
JP6713162B2 (en) * 2016-01-19 2020-06-24 国立大学法人豊橋技術科学大学 Image recognition device, image recognition method, and image recognition program
CN106203432B (en) * 2016-07-14 2020-01-17 杭州健培科技有限公司 Positioning system of region of interest based on convolutional neural network significance map

Also Published As

Publication number Publication date
EP3682419A4 (en) 2021-05-19
KR20200035129A (en) 2020-04-01
CN111316317A (en) 2020-06-19
CN111316317B (en) 2023-11-10
JP2020533725A (en) 2020-11-19
JP7061671B2 (en) 2022-04-28
EP3682419A1 (en) 2020-07-22
KR102382401B1 (en) 2022-04-01
WO2019055555A1 (en) 2019-03-21
CN117115548A (en) 2023-11-24
AU2018332879A1 (en) 2020-02-27
IL272431A (en) 2020-03-31
CA3072108A1 (en) 2019-03-21

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