Efficacy of educational lecture on the JNET classification and development of AI diagnostic systems using the NICE/JNET classifications for colorectal lesions 1）Effect of educational lecture on the diagnostic accuracy of Japan NBI Expert Team classification for colorectal lesions 2）Development of multi-class computer-aided diagnostic systems using the NICE/JNET classifications for colorectal lesions

大腸病変に対するJNET分類の教育効果とNICE/JNET分類のAI識別器の開発 1）大腸病変に対するJNET分類の診断能における教育効果の検討 2）大腸病変に対するNICE/JNET 分類を用いたマルチクラスのコンピューター診断支援システムの開発

Okamoto Yuki

eng

1)(c)The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creat iveco mmons .org/licen ses/by/4.0/.

2)(c)2021 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd

1)Okamoto et al. BMC Gastroenterol (2021) 21:110

2)Journal of Gastroenterology and Hepatology 37(2022) 104-110

[DOI] https://doi.org/10.1186/s12876-021-01676-x

[DOI] https://doi.org/10.1111/jgh.15682

広島大学