Title:
人工知能モデルを使用機関に特化させる学習方法、これを行う装置
Document Type and Number:
Japanese Patent JP7406758
Kind Code:
B2
Abstract:
A training method for specializing an artificial intelligence model in an institution for deployment and an apparatus for performing training the artificial intelligence model are provided. A method for operating a training apparatus operated by at least one processor includes extracting a dataset to be used for specialized training from data retained by a certain institution, selecting an annotation target for which annotation is required from the dataset by using a pre-trained artificial intelligence (AI) model, and performing supervised training of the pre-trained AI model by using data annotated with a label for the annotation target.
Inventors:
Yoo, Dong Gun
baek, seung wook
Kim, Minchul
Park, Cheongchan
baek, seung wook
Kim, Minchul
Park, Cheongchan
Application Number:
JP2022519274A
Publication Date:
December 28, 2023
Filing Date:
September 25, 2020
Export Citation:
Assignee:
LUNIT INC.
International Classes:
G06N20/00; G06Q50/22; G16H10/00; G16H50/00
Domestic Patent References:
| JP2008276775A | ||||
| JP2017107386A | ||||
| JP6337973B2 |
Foreign References:
| US20180314943 | ||||
| WO2019150813A1 | ||||
| US20190065908 | ||||
| US20190242608 |
Other References:
今西勁峰 ほか,"放射線治療における深層学習の産業応用",第63回システム制御情報学会 研究発表講演会 講演論文集,一般社団法人システム制御情報学会,2019年05月15日,p.1013-1016
森谷崇史 ほか,"Progressive neural networksを応用した音響モデルの転移学習",日本音響学会講演論文集,2018年03月,p.13-14
帯金駿 ほか,"病理画像のsemantic segmentationにおける癌種間のドメイン適応",SSII2019 予稿資料,画像センシング技術研究会,2019年07月03日,IS1-19
森谷崇史 ほか,"Progressive neural networksを応用した音響モデルの転移学習",日本音響学会講演論文集,2018年03月,p.13-14
帯金駿 ほか,"病理画像のsemantic segmentationにおける癌種間のドメイン適応",SSII2019 予稿資料,画像センシング技術研究会,2019年07月03日,IS1-19
Attorney, Agent or Firm:
Patent Attorney Corporation R&C