JPWO2022044425A1 - - Google Patents
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- Publication number
- JPWO2022044425A1 JPWO2022044425A1 JP2022545299A JP2022545299A JPWO2022044425A1 JP WO2022044425 A1 JPWO2022044425 A1 JP WO2022044425A1 JP 2022545299 A JP2022545299 A JP 2022545299A JP 2022545299 A JP2022545299 A JP 2022545299A JP WO2022044425 A1 JPWO2022044425 A1 JP WO2022044425A1
- Authority
- JP
- Japan
- 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.)
- Granted
Links
Classifications
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- 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
- A61B1/00002—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
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- 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
- A61B1/00002—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
-
- 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
- A61B1/00002—Operational features of endoscopes
- A61B1/00043—Operational features of endoscopes provided with output arrangements
- A61B1/00045—Display arrangement
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- 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
-
- 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
- G06N3/0464—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
-
- 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
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- 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
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Surgery (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Pathology (AREA)
- Heart & Thoracic Surgery (AREA)
- Optics & Photonics (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020144568 | 2020-08-28 | ||
| JP2020144568 | 2020-08-28 | ||
| PCT/JP2021/016004 WO2022044425A1 (ja) | 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 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2022044425A1 true JPWO2022044425A1 (https=) | 2022-03-03 |
| JPWO2022044425A5 JPWO2022044425A5 (https=) | 2023-05-24 |
| JP7648638B2 JP7648638B2 (ja) | 2025-03-18 |
Family
ID=80354949
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022545299A Active JP7648638B2 (ja) | 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 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US12357149B2 (https=) |
| JP (1) | JP7648638B2 (https=) |
| WO (1) | WO2022044425A1 (https=) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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)
| 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)
| 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 |
-
2021
- 2021-04-20 WO PCT/JP2021/016004 patent/WO2022044425A1/ja not_active Ceased
- 2021-04-20 JP JP2022545299A patent/JP7648638B2/ja active Active
-
2023
- 2023-02-08 US US18/165,934 patent/US12357149B2/en active Active
Patent Citations (2)
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022044425A1 (ja) | 2022-03-03 |
| US20230180999A1 (en) | 2023-06-15 |
| JP7648638B2 (ja) | 2025-03-18 |
| US12357149B2 (en) | 2025-07-15 |
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