JPWO2021106174A1 - - Google Patents

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Publication number
JPWO2021106174A1
JPWO2021106174A1 JP2021561092A JP2021561092A JPWO2021106174A1 JP WO2021106174 A1 JPWO2021106174 A1 JP WO2021106174A1 JP 2021561092 A JP2021561092 A JP 2021561092A JP 2021561092 A JP2021561092 A JP 2021561092A JP WO2021106174 A1 JPWO2021106174 A1 JP WO2021106174A1
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JP
Japan
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JP2021561092A
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JP7231762B2 (ja
JPWO2021106174A5 (ja
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Classifications

    • 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • G06V10/77—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; 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
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • 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
    • 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
    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • 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
    • 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
    • G06V2201/032—Recognition of patterns in medical or anatomical images of protuberances, polyps nodules, etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Public Health (AREA)
  • Data Mining & Analysis (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Pathology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
JP2021561092A 2019-11-29 2019-11-29 画像処理方法、学習装置、画像処理装置及びプログラム Active JP7231762B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/046692 WO2021106174A1 (ja) 2019-11-29 2019-11-29 画像処理方法、学習装置及び画像処理装置

Publications (3)

Publication Number Publication Date
JPWO2021106174A1 true JPWO2021106174A1 (ja) 2021-06-03
JPWO2021106174A5 JPWO2021106174A5 (ja) 2022-03-15
JP7231762B2 JP7231762B2 (ja) 2023-03-01

Family

ID=76129456

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021561092A Active JP7231762B2 (ja) 2019-11-29 2019-11-29 画像処理方法、学習装置、画像処理装置及びプログラム

Country Status (4)

Country Link
US (1) US20220130136A1 (ja)
JP (1) JP7231762B2 (ja)
CN (1) CN114365180A (ja)
WO (1) WO2021106174A1 (ja)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11592828B2 (en) * 2020-01-16 2023-02-28 Nvidia Corporation Using neural networks to perform fault detection in autonomous driving applications
US11587241B2 (en) 2020-05-29 2023-02-21 Wing Aviation Llc Detection of environmental changes to delivery zone
US11687780B2 (en) * 2020-07-02 2023-06-27 Samsung Electronics Co., Ltd Method and apparatus for data efficient semantic segmentation
US11972225B2 (en) * 2020-10-01 2024-04-30 Shrey Pathak Automated patent language generation
TWI802906B (zh) * 2021-01-28 2023-05-21 旺宏電子股份有限公司 資料識別裝置及辨識方法
CN114708437B (zh) * 2022-06-02 2022-09-06 深圳比特微电子科技有限公司 目标检测模型的训练方法、目标检测方法、装置和介质
CN115661758A (zh) * 2022-11-15 2023-01-31 江西创成微电子有限公司 基于人工智能的公共场所人群密集度监测方法及其系统

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019003396A (ja) * 2017-06-15 2019-01-10 コニカミノルタ株式会社 目的物体検出装置、該方法およびプログラム
JP2019159958A (ja) * 2018-03-14 2019-09-19 オムロン株式会社 顔画像識別システム、識別器生成装置、識別装置、画像識別システム、及び識別システム

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10915817B2 (en) * 2017-01-23 2021-02-09 Fotonation Limited Method of training a neural network
US10318889B2 (en) * 2017-06-26 2019-06-11 Konica Minolta Laboratory U.S.A., Inc. Targeted data augmentation using neural style transfer
US10753997B2 (en) * 2017-08-10 2020-08-25 Siemens Healthcare Gmbh Image standardization using generative adversarial networks
KR102641116B1 (ko) * 2018-08-23 2024-02-27 삼성전자주식회사 데이터 증강에 기초한 인식 모델 트레이닝 방법 및 장치, 이미지 인식 방법 및 장치
US11934944B2 (en) * 2018-10-04 2024-03-19 International Business Machines Corporation Neural networks using intra-loop data augmentation during network training
US11003909B2 (en) * 2019-03-20 2021-05-11 Raytheon Company Neural network trained by homographic augmentation

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019003396A (ja) * 2017-06-15 2019-01-10 コニカミノルタ株式会社 目的物体検出装置、該方法およびプログラム
JP2019159958A (ja) * 2018-03-14 2019-09-19 オムロン株式会社 顔画像識別システム、識別器生成装置、識別装置、画像識別システム、及び識別システム

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
松岡 佑磨 他: "教師なし学習を導入した深層距離学習法", 情報処理学会第７９回全国大会, JPN6020004676, 16 March 2017 (2017-03-16), JP, pages 2 - 383, ISSN: 0004971813 *

Also Published As

Publication number Publication date
JP7231762B2 (ja) 2023-03-01
US20220130136A1 (en) 2022-04-28
WO2021106174A1 (ja) 2021-06-03
CN114365180A (zh) 2022-04-15

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