JP7765415B2 - 学習済みモデルの生成方法、機械学習システム、プログラムおよび医療画像処理装置 - Google Patents

学習済みモデルの生成方法、機械学習システム、プログラムおよび医療画像処理装置

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JP7765415B2
JP7765415B2 JP2022578244A JP2022578244A JP7765415B2 JP 7765415 B2 JP7765415 B2 JP 7765415B2 JP 2022578244 A JP2022578244 A JP 2022578244A JP 2022578244 A JP2022578244 A JP 2022578244A JP 7765415 B2 JP7765415 B2 JP 7765415B2
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彰 工藤
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Fujifilm Corp
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    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
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    • G06N3/02Neural networks
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    • GPHYSICS
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    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local 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
    • G06V10/443Local 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
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747Organisation of the process, e.g. bagging or boosting
    • GPHYSICS
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computed tomography [CT]
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    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • G06T2200/04Indexing scheme for image data processing or generation, in general involving 3D image data
    • GPHYSICS
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
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    • G06T2207/10072Tomographic images
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    • G06T2207/10088Magnetic resonance imaging [MRI]
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    • G06T2207/20081Training; Learning
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    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
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    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00Image generation
    • G06T2211/40Computed tomography
    • G06T2211/441AI-based methods, deep learning or artificial neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
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JP2022578244A 2021-01-26 2022-01-17 学習済みモデルの生成方法、機械学習システム、プログラムおよび医療画像処理装置 Active JP7765415B2 (ja)

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KR102666699B1 (ko) * 2022-08-18 2024-05-20 영남대학교 산학협력단 이미지 변환 장치 및 방법
CN117745725B (zh) * 2024-02-20 2024-05-14 阿里巴巴达摩院(杭州)科技有限公司 图像处理方法、图像处理模型训练方法、三维医学图像处理方法、计算设备及存储介质
CN118470078B (zh) * 2024-07-11 2024-09-24 杭州唯精医疗机器人有限公司 图像配准方法、图像优化显示方法、设备、介质和程序产品

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JP6583875B1 (ja) 2019-06-20 2019-10-02 Psp株式会社 画像処理方法、画像処理システム及び画像処理プログラム
WO2020175446A1 (ja) 2019-02-28 2020-09-03 富士フイルム株式会社 学習方法、学習システム、学習済みモデル、プログラム及び超解像画像生成装置

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EP3230954A1 (en) * 2014-12-10 2017-10-18 Koninklijke Philips N.V. Systems and methods for translation of medical imaging using machine learning
CN110234400B (zh) 2016-09-06 2021-09-07 医科达有限公司 用于生成合成医学图像的神经网络
KR102219890B1 (ko) * 2018-02-28 2021-02-24 서울대학교산학협력단 딥러닝을 이용한 의료영상의 공간 정규화 장치 및 그 방법
JP6948966B2 (ja) 2018-02-28 2021-10-13 富士フイルム株式会社 診断支援システム、診断支援方法、及びプログラム
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US12579720B2 (en) 2026-03-17
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WO2022163402A1 (ja) 2022-08-04
EP4287114B1 (en) 2026-04-29
US20230368442A1 (en) 2023-11-16
EP4287114A1 (en) 2023-12-06

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