JP7648638B2 - 学習装置、学習方法、プログラム、学習済みモデル、及び内視鏡システム - Google Patents

学習装置、学習方法、プログラム、学習済みモデル、及び内視鏡システム Download PDF

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JP7648638B2
JP7648638B2 JP2022545299A JP2022545299A JP7648638B2 JP 7648638 B2 JP7648638 B2 JP 7648638B2 JP 2022545299 A JP2022545299 A JP 2022545299A JP 2022545299 A JP2022545299 A JP 2022545299A JP 7648638 B2 JP7648638 B2 JP 7648638B2
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正明 大酒
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Fujifilm Corp
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    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002—Operational features of endoscopes
    • A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
    • A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
    • A61B1/000096—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope using artificial intelligence
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
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    • A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
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    • A—HUMAN NECESSITIES
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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002—Operational features of endoscopes
    • A61B1/00043—Operational features of endoscopes provided with output arrangements
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    • G06N3/0464—Convolutional networks [CNN, ConvNet]
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    • 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 OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/06—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor with illuminating arrangements
    • A61B1/0638—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor with illuminating arrangements providing two or more wavelengths
    • 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]

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JP2022545299A 2020-08-28 2021-04-20 学習装置、学習方法、プログラム、学習済みモデル、及び内視鏡システム Active JP7648638B2 (ja)

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CN115219919B (zh) * 2022-07-27 2026-03-10 浙江极氪智能科技有限公司 电池健康状态预测方法、装置、电子设备及可读存储介质
WO2024185045A1 (ja) * 2023-03-07 2024-09-12 日本電気株式会社 データ生成装置、データ生成方法および記録媒体
JP2025087996A (ja) * 2023-11-30 2025-06-11 ＭｅｄＢａｎｋ株式会社 医用画像の自動選別方法、装置、コンピュータ可読記憶媒体及びプログラム

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015102806A (ja) 2013-11-27 2015-06-04 国立研究開発法人情報通信研究機構 統計的音響モデルの適応方法、統計的音響モデルの適応に適した音響モデルの学習方法、ディープ・ニューラル・ネットワークを構築するためのパラメータを記憶した記憶媒体、及び統計的音響モデルの適応を行なうためのコンピュータプログラム
WO2020022027A1 (ja) 2018-07-26 2020-01-30 富士フイルム株式会社 学習装置及び学習方法

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6236296B2 (ja) 2013-11-14 2017-11-22 株式会社デンソーアイティーラボラトリ 学習装置、学習プログラム、及び学習方法
JP6196598B2 (ja) 2014-09-30 2017-09-13 富士フイルム株式会社 内視鏡システム、プロセッサ装置、内視鏡システムの作動方法、及びプロセッサ装置の作動方法
US11144785B2 (en) 2016-03-17 2021-10-12 Imagia Cybernetics Inc. Method and system for processing a task with robustness to missing input information
JP6656357B2 (ja) 2016-04-04 2020-03-04 オリンパス株式会社 学習方法、画像認識装置およびプログラム
JP6151404B1 (ja) 2016-04-26 2017-06-21 ヤフー株式会社 学習装置、学習方法および学習プログラム
RU2016138608A (ru) 2016-09-29 2018-03-30 Мэджик Лип, Инк. Нейронная сеть для сегментации изображения глаза и оценки качества изображения
US11551335B2 (en) * 2017-04-07 2023-01-10 Intel Corporation Methods and systems using camera devices for deep channel and convolutional neural network images and formats
US11094029B2 (en) * 2017-04-10 2021-08-17 Intel Corporation Abstraction layers for scalable distributed machine learning
US11017291B2 (en) * 2017-04-28 2021-05-25 Intel Corporation Training with adaptive runtime and precision profiling
US11373266B2 (en) * 2017-05-05 2022-06-28 Intel Corporation Data parallelism and halo exchange for distributed machine learning
US12154028B2 (en) * 2017-05-05 2024-11-26 Intel Corporation Fine-grain compute communication execution for deep learning frameworks via hardware accelerated point-to-point primitives
US11379975B2 (en) * 2017-06-30 2022-07-05 Promaton Holding B.V. Classification and 3D modelling of 3D dento-maxillofacial structures using deep learning methods
KR102589303B1 (ko) * 2017-11-02 2023-10-24 삼성전자주식회사 고정 소수점 타입의 뉴럴 네트워크를 생성하는 방법 및 장치
US11449759B2 (en) * 2018-01-03 2022-09-20 Siemens Heathcare Gmbh Medical imaging diffeomorphic registration based on machine learning
US11461579B2 (en) 2018-02-08 2022-10-04 Western Digital Technologies, Inc. Configurable neural network engine for convolutional filter sizes
JP7098498B2 (ja) * 2018-10-01 2022-07-11 富士フイルム株式会社 疾患領域を判別する判別器の学習装置、方法及びプログラム、疾患領域を判別する判別器、並びに疾患領域判別装置及びプログラム
US11937767B2 (en) * 2019-07-18 2024-03-26 Hoya Corporation Endoscope
US12530820B2 (en) * 2019-09-30 2026-01-20 Nvidia Corporation Image generation using one or more neural networks
US11238650B2 (en) * 2020-03-13 2022-02-01 Nvidia Corporation Self-supervised single-view 3D reconstruction via semantic consistency

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015102806A (ja) 2013-11-27 2015-06-04 国立研究開発法人情報通信研究機構 統計的音響モデルの適応方法、統計的音響モデルの適応に適した音響モデルの学習方法、ディープ・ニューラル・ネットワークを構築するためのパラメータを記憶した記憶媒体、及び統計的音響モデルの適応を行なうためのコンピュータプログラム
WO2020022027A1 (ja) 2018-07-26 2020-01-30 富士フイルム株式会社 学習装置及び学習方法

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