SG11202108223XA - Method and system for classification and visualisation of 3d images - Google Patents

Method and system for classification and visualisation of 3d images

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Publication number
SG11202108223XA
SG11202108223XA SG11202108223XA SG11202108223XA SG11202108223XA SG 11202108223X A SG11202108223X A SG 11202108223XA SG 11202108223X A SG11202108223X A SG 11202108223XA SG 11202108223X A SG11202108223X A SG 11202108223XA SG 11202108223X A SG11202108223X A SG 11202108223XA
Authority
SG
Singapore
Prior art keywords
visualisation
classification
images
Prior art date
Application number
SG11202108223XA
Inventor
Daniel Shu Wei Ting
Gavin Siew Wei Tan
Tien Yin Wong
Ching-Yu Cheng
Chui Ming Gemmy Cheung
Yong Liu
Shaohua Li
Rick Siow Mong Goh
Original Assignee
Singapore Health Serv Pte Ltd
Agency Science Tech & Res
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 Singapore Health Serv Pte Ltd, Agency Science Tech & Res filed Critical Singapore Health Serv Pte Ltd
Publication of SG11202108223XA publication Critical patent/SG11202108223XA/en

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    • 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • 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
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • 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
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • G06V20/647—Three-dimensional objects by matching two-dimensional images to three-dimensional objects
    • 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
    • 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
    • G06T2207/10072—Tomographic images
    • G06T2207/10101—Optical tomography; Optical coherence tomography [OCT]
    • 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
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20—Indexing scheme for editing of 3D models
    • G06T2219/2012—Colour editing, changing, or manipulating; Use of colour codes
    • 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)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Public Health (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Epidemiology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Primary Health Care (AREA)
  • Radiology & Medical Imaging (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Pathology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Computer Graphics (AREA)
  • Evolutionary Biology (AREA)
  • Computer Hardware Design (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Architecture (AREA)
  • Image Analysis (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
SG11202108223XA 2019-02-08 2020-02-07 Method and system for classification and visualisation of 3d images SG11202108223XA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SG10201901083Y 2019-02-08
PCT/SG2020/050057 WO2020162834A1 (en) 2019-02-08 2020-02-07 Method and system for classification and visualisation of 3d images

Publications (1)

Publication Number Publication Date
SG11202108223XA true SG11202108223XA (en) 2021-08-30

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Country Status (5)

Country Link
US (1) US20220157048A1 (en)
EP (1) EP3921776B1 (en)
CN (1) CN113728335A (en)
SG (1) SG11202108223XA (en)
WO (1) WO2020162834A1 (en)

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US11494616B2 (en) * 2019-05-09 2022-11-08 Shenzhen Malong Technologies Co., Ltd. Decoupling category-wise independence and relevance with self-attention for multi-label image classification
US20210357730A1 (en) * 2020-05-12 2021-11-18 Alibaba Group Holding Limited Multi-size convolutional layer background
US11651588B1 (en) * 2020-06-05 2023-05-16 Aetherai Ip Holding Llc Object detection method and convolution neural network for the same
CN112614119B (en) * 2020-12-28 2024-04-12 上海市精神卫生中心（上海市心理咨询培训中心） Medical image region of interest visualization method, device, storage medium and equipment
CN112712093B (en) * 2021-01-11 2024-04-05 中国铁道科学研究院集团有限公司电子计算技术研究所 Security check image identification method and device, electronic equipment and storage medium
CN112906662B (en) * 2021-04-02 2022-07-19 海南长光卫星信息技术有限公司 Method, device and equipment for detecting change of remote sensing image and storage medium
US11947631B2 (en) * 2021-05-18 2024-04-02 Sony Group Corporation Reverse image search based on deep neural network (DNN) model and image-feature detection model
CN113940638B (en) * 2021-10-22 2023-09-19 上海理工大学 Pulse wave signal identification and classification method based on frequency domain dual-feature fusion
CN114037896B (en) * 2021-11-09 2024-02-13 合肥工业大学 PolSAR ground object fine classification method based on multi-index convolution self-encoder
CN114119923B (en) * 2021-11-29 2022-07-19 浙江大学 Three-dimensional face reconstruction method and device and electronic equipment
CN115733673B (en) * 2022-11-04 2024-04-12 中国人民解放军海军工程大学 Data anomaly detection method based on multi-scale residual error classifier
KR20240109873A (en) 2023-01-05 2024-07-12 사회복지법인 삼성생명공익재단 3 dimensional heatmap generating method using 2 dimensional medical image and image processing apparatus
CN116385393A (en) * 2023-04-04 2023-07-04 上海鸢理冠智能科技有限公司 Convolutional neural network model, pathological image recognition system, method, equipment and medium
CN116524282B (en) * 2023-06-26 2023-09-05 贵州大学 Discrete similarity matching classification method based on feature vectors

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CA2979579C (en) * 2015-03-20 2020-02-18 Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. Relevance score assignment for artificial neural networks
US9947102B2 (en) * 2016-08-26 2018-04-17 Elekta, Inc. Image segmentation using neural network method
US10417788B2 (en) * 2016-09-21 2019-09-17 Realize, Inc. Anomaly detection in volumetric medical images using sequential convolutional and recurrent neural networks
US10783393B2 (en) * 2017-06-20 2020-09-22 Nvidia Corporation Semi-supervised learning for landmark localization
CN108492297B (en) * 2017-12-25 2021-11-19 重庆师范大学 MRI brain tumor positioning and intratumoral segmentation method based on deep cascade convolution network

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Publication number Publication date
US20220157048A1 (en) 2022-05-19
WO2020162834A1 (en) 2020-08-13
EP3921776A4 (en) 2022-11-23
EP3921776A1 (en) 2021-12-15
EP3921776B1 (en) 2024-08-07
CN113728335A (en) 2021-11-30

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