ES3065452T3 - Medical imaging analysis using self-supervised learning - Google Patents

Medical imaging analysis using self-supervised learning

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Publication number
ES3065452T3
ES3065452T3 ES23724507T ES23724507T ES3065452T3 ES 3065452 T3 ES3065452 T3 ES 3065452T3 ES 23724507 T ES23724507 T ES 23724507T ES 23724507 T ES23724507 T ES 23724507T ES 3065452 T3 ES3065452 T3 ES 3065452T3
Authority
ES
Spain
Prior art keywords
self
medical imaging
supervised learning
imaging analysis
analysis
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.)
Active
Application number
ES23724507T
Other languages
English (en)
Inventor
Zekai Chen
Kevin Alex Brown
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bristol Myers Squibb Co
Original Assignee
Bristol Myers Squibb Co
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 Bristol Myers Squibb Co filed Critical Bristol Myers Squibb Co
Application granted granted Critical
Publication of ES3065452T3 publication Critical patent/ES3065452T3/es
Active legal-status Critical Current
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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7753—Incorporation of unlabelled data, e.g. multiple instance learning [MIL]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/002—Image coding using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/776—Validation; Performance evaluation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • 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
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Multimedia (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
ES23724507T 2022-04-21 2023-04-20 Medical imaging analysis using self-supervised learning Active ES3065452T3 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202263333495P 2022-04-21 2022-04-21
PCT/US2023/019323 WO2023205372A1 (en) 2022-04-21 2023-04-20 Medical imaging analysis using self-supervised learning

Publications (1)

Publication Number Publication Date
ES3065452T3 true ES3065452T3 (en) 2026-05-06

Family

ID=86386914

Family Applications (1)

Application Number Title Priority Date Filing Date
ES23724507T Active ES3065452T3 (en) 2022-04-21 2023-04-20 Medical imaging analysis using self-supervised learning

Country Status (9)

Country Link
US (1) US20230410483A1 (es)
EP (1) EP4490703B1 (es)
JP (1) JP7811282B2 (es)
KR (1) KR20250004841A (es)
CN (1) CN119343708A (es)
AU (1) AU2023257293A1 (es)
CA (1) CA3249084A1 (es)
ES (1) ES3065452T3 (es)
WO (1) WO2023205372A1 (es)

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EP4449305A1 (en) * 2021-12-17 2024-10-23 F. Hoffmann-La Roche AG Computer-implemented method for performing a clinical prediction
US12266160B2 (en) * 2022-07-27 2025-04-01 Meta Platforms, Inc. Masked autoencoders for computer vision
US12469147B2 (en) * 2023-01-05 2025-11-11 City University Of Hong Kong Weakly-supervised 3D medical image segmentation using geometric prior and contrastive similarity
US12548163B2 (en) * 2023-01-06 2026-02-10 Siemens Healthineers Ag Quantification of body composition using contrastive learning in CT images
US12456182B2 (en) * 2023-03-16 2025-10-28 International Business Machines Corporation Anomaly detection using masked auto-encoder
JP2024164447A (ja) * 2023-05-15 2024-11-27 キヤノン株式会社 画像処理装置、画像処理方法、及びプログラム
CN116664588B (zh) * 2023-05-29 2025-12-23 华中科技大学 基于掩码建模的3d医学图像分割模型建立方法及其应用
CN119338866A (zh) * 2023-07-10 2025-01-21 西安大医集团股份有限公司 图像的处理方法、装置及存储介质
CN120416680A (zh) * 2024-01-30 2025-08-01 北京有竹居网络技术有限公司 用于生成视频的方法、装置、电子设备和计算机程序产品
CN118135297B (zh) * 2024-02-28 2025-07-04 上海人工智能创新中心 一种基于解码器视觉Transformer架构的图像分类方法
US20250308224A1 (en) * 2024-03-29 2025-10-02 L'oreal Systems and methods for self-supervised facial landmark detection
CN118247582B (zh) * 2024-05-27 2024-09-10 长春理工大学 一种基于Swin Transformer的脑肿瘤图像自动分类方法和系统
CN118710920B (zh) * 2024-08-29 2024-11-22 阿里巴巴（中国）有限公司 图像处理方法、脂肪肝计算机辅助诊断方法、设备、系统、计算机存储介质及计算机程序产品
CN119625297B (zh) * 2024-11-12 2025-09-30 中国科学院深圳先进技术研究院 基于sam自适应微调的多模态半监督医学图像分割方法
CN119624833B (zh) * 2024-11-27 2025-11-11 中国科学技术大学 一种无需图像的底层视觉预训练方法
CN119648690B (zh) * 2025-02-12 2025-05-09 深圳市生利科技有限公司 用于pvd镀膜的基材表面清洁度检测方法和装置
CN119762496B (zh) * 2025-03-07 2025-05-27 山东师范大学 基于互适应学习框架的胰腺图像分割方法及系统

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DE112019001044T5 (de) 2018-02-28 2020-11-12 Fujifilm Corporation Verfahren und vorrichtung für maschinelles lernen, programm, gelerntes modell und diskriminiervorrichtung
KR20220020287A (ko) 2019-05-31 2022-02-18 아비오메드, 인크. 대동맥 내압 예측
EP4097738B1 (en) 2020-01-28 2025-12-31 PAIGE.AI, Inc. ELECTRONIC IMAGE PROCESSING SYSTEMS AND METHODS FOR BIOMARKER LOCALIZATION
US12165014B2 (en) 2020-09-03 2024-12-10 S&P Global Inc. Dynamic ontology classification system
JP7650282B2 (ja) 2020-09-07 2025-03-24 富士フイルム株式会社 学習装置、学習方法、画像処理装置、内視鏡システム及びプログラム

Also Published As

Publication number Publication date
EP4490703B1 (en) 2026-02-18
US20230410483A1 (en) 2023-12-21
CN119343708A (zh) 2025-01-21
JP2025516144A (ja) 2025-05-27
WO2023205372A1 (en) 2023-10-26
EP4490703A1 (en) 2025-01-15
EP4490703C0 (en) 2026-02-18
JP7811282B2 (ja) 2026-02-04
CA3249084A1 (en) 2023-10-26
AU2023257293A1 (en) 2024-11-07
KR20250004841A (ko) 2025-01-08

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