JP7329041B2 - 条件付き敵対的生成ネットワークに基づいて画像を合成する方法および関連機器 - Google Patents

条件付き敵対的生成ネットワークに基づいて画像を合成する方法および関連機器 Download PDF

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JP7329041B2
JP7329041B2 JP2021506747A JP2021506747A JP7329041B2 JP 7329041 B2 JP7329041 B2 JP 7329041B2 JP 2021506747 A JP2021506747 A JP 2021506747A JP 2021506747 A JP2021506747 A JP 2021506747A JP 7329041 B2 JP7329041 B2 JP 7329041B2
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red blood
blood cell
image
data set
clinical
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JP2022500728A5 (OSRAM
JP2022500728A (ja
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義文 王
健宗 王
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Ping An Technology Shenzhen Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/695—Preprocessing, e.g. image segmentation
    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2132—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on discrimination criteria, e.g. discriminant analysis
    • G—PHYSICS
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    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2137—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
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    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
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    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2193—Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
    • G—PHYSICS
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    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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    • G—PHYSICS
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    • 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
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
    • 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
    • G06V10/764—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 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
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
    • 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
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    • G06T2207/10024—Color image
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    • G06T2207/20—Special algorithmic details
    • G06T2207/20076—Probabilistic image processing
    • G—PHYSICS
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    • 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
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    • 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
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  • Bioinformatics & Cheminformatics (AREA)
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  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
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  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Image Processing (AREA)
JP2021506747A 2019-08-12 2019-11-13 条件付き敵対的生成ネットワークに基づいて画像を合成する方法および関連機器 Active JP7329041B2 (ja)

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Application Number Priority Date Filing Date Title
CN201910741020.7A CN110648309B (zh) 2019-08-12 2019-08-12 基于条件生成对抗网络合成红细胞图像的方法及相关设备
CN201910741020.7 2019-08-12
PCT/CN2019/117988 WO2021027152A1 (zh) 2019-08-12 2019-11-13 基于条件生成对抗网络合成图像的方法及相关设备

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JP2022500728A JP2022500728A (ja) 2022-01-04
JP2022500728A5 JP2022500728A5 (OSRAM) 2022-07-15
JP7329041B2 true JP7329041B2 (ja) 2023-08-17

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US (1) US11636695B2 (OSRAM)
JP (1) JP7329041B2 (OSRAM)
CN (1) CN110648309B (OSRAM)
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WO (1) WO2021027152A1 (OSRAM)

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CN111833238B (zh) * 2020-06-01 2023-07-25 北京百度网讯科技有限公司 图像的翻译方法和装置、图像翻译模型的训练方法和装置
CN112102323B (zh) * 2020-09-17 2023-07-07 陕西师范大学 基于生成对抗网络和Caps-Unet网络的粘连细胞核分割方法
CN112435259B (zh) * 2021-01-27 2021-04-02 核工业四一六医院 一种基于单样本学习的细胞分布模型构建及细胞计数方法
CN115424604B (zh) * 2022-07-20 2024-03-15 南京硅基智能科技有限公司 一种基于对抗生成网络的语音合成模型的训练方法
US20250166173A1 (en) * 2023-11-21 2025-05-22 L&T Technology Services Limited Method and system of analysing blood smear image using deep learning model

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JP2017519985A (ja) 2014-06-16 2017-07-20 シーメンス・ヘルスケア・ダイアグノスティックス・インコーポレーテッドＳｉｅｍｅｎｓ Ｈｅａｌｔｈｃａｒｅ Ｄｉａｇｎｏｓｔｉｃｓ Ｉｎｃ． 血液学用デジタルホログラフィ顕微鏡検査データ分析
WO2019060141A1 (en) 2017-09-19 2019-03-28 Siemens Healthcare Diagnostics Inc. VIRTUAL COLORING OF CELLS IN DIGITAL HOLOGRAPHIC MICROSCOPY IMAGES USING GENERATIVE ANTAGONIST NETWORKS

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CN110648309B (zh) 2024-05-28
JP2022500728A (ja) 2022-01-04
CN110648309A (zh) 2020-01-03
WO2021027152A1 (zh) 2021-02-18
US20210312243A1 (en) 2021-10-07
US11636695B2 (en) 2023-04-25
SG11202100136SA (en) 2021-03-30

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