SG11201912260TA - Method of modifying a retina fundus image for a deep learning model - Google Patents

Method of modifying a retina fundus image for a deep learning model

Info

Publication number
SG11201912260TA
SG11201912260TA SG11201912260TA SG11201912260TA SG11201912260TA SG 11201912260T A SG11201912260T A SG 11201912260TA SG 11201912260T A SG11201912260T A SG 11201912260TA SG 11201912260T A SG11201912260T A SG 11201912260TA SG 11201912260T A SG11201912260T A SG 11201912260TA
Authority
SG
Singapore
Prior art keywords
modifying
learning model
deep learning
fundus image
retina fundus
Prior art date
Application number
SG11201912260TA
Other languages
English (en)
Inventor
Wynne Hsu
Mong Li Lee
Gilbert Lim
Tien Yin Wong
Shu Wei Daniel Ting
Original Assignee
Nat Univ Singapore
Singapore Health Serv Pte Ltd
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 Nat Univ Singapore, Singapore Health Serv Pte Ltd filed Critical Nat Univ Singapore
Publication of SG11201912260TA publication Critical patent/SG11201912260TA/en

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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
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • 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
    • G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/0016—Operational features thereof
    • A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
    • 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
    • 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
    • G06N3/045—Combinations of networks
    • 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
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/001—Texturing; Colouring; Generation of texture or colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/40—Filling a planar surface by adding surface attributes, e.g. colour or texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • 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
    • 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
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/193—Preprocessing; Feature extraction
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
    • 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
    • G06T2207/10024—Color 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
    • G06T2207/20081—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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30041—Eye; Retina; Ophthalmic
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/41—Medical
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Ophthalmology & Optometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Veterinary Medicine (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Surgery (AREA)
  • Mathematical Physics (AREA)
  • Public Health (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Databases & Information Systems (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Eye Examination Apparatus (AREA)
  • Image Analysis (AREA)
SG11201912260TA 2017-07-28 2018-07-24 Method of modifying a retina fundus image for a deep learning model SG11201912260TA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SG10201706186V 2017-07-28
PCT/SG2018/050363 WO2019022663A1 (fr) 2017-07-28 2018-07-24 Procédé de modification d'une image de fond de rétine pour un modèle d'apprentissage profond

Publications (1)

Publication Number Publication Date
SG11201912260TA true SG11201912260TA (en) 2020-01-30

Family

ID=65040684

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201912260TA SG11201912260TA (en) 2017-07-28 2018-07-24 Method of modifying a retina fundus image for a deep learning model

Country Status (5)

Country Link
US (1) US11200707B2 (fr)
EP (1) EP3659067B1 (fr)
CN (2) CN113284101A (fr)
SG (1) SG11201912260TA (fr)
WO (1) WO2019022663A1 (fr)

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CN110648303B (zh) * 2018-06-08 2022-07-26 上海市第六人民医院 眼底图像分析方法、计算机设备和存储介质
EP3924885A4 (fr) * 2019-02-12 2022-11-16 National University of Singapore Mesure de vaisseau rétinien
CN110013216B (zh) * 2019-03-12 2022-04-22 中山大学中山眼科中心 一种人工智能白内障分析系统
JP7105369B2 (ja) * 2019-03-28 2022-07-22 オリンパス株式会社 トラッキング装置、学習済モデル、内視鏡システム及びトラッキング方法
CN110361625B (zh) * 2019-07-23 2022-01-28 中南大学 一种用于逆变器开路故障诊断的方法和电子设备
CN112967331B (zh) * 2021-03-25 2021-12-17 北京的卢深视科技有限公司 一种图像处理的方法、电子设备及存储介质
CN113344894B (zh) * 2021-06-23 2024-05-14 依未科技(北京)有限公司 眼底豹纹斑特征提取及特征指数确定的方法和装置
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CN116504378B (zh) * 2023-06-26 2023-10-31 杭州目乐医疗科技股份有限公司 一种视力筛查仪的控制方法与系统
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Also Published As

Publication number Publication date
EP3659067A4 (fr) 2021-04-07
EP3659067B1 (fr) 2023-09-20
US20200211235A1 (en) 2020-07-02
CN113284101A (zh) 2021-08-20
EP3659067C0 (fr) 2023-09-20
CN110914835B (zh) 2024-04-19
US11200707B2 (en) 2021-12-14
WO2019022663A1 (fr) 2019-01-31
CN110914835A (zh) 2020-03-24
EP3659067A1 (fr) 2020-06-03

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