Development of multi‐class computer‐aided diagnostic systems using the NICE/JNET classifications for colorectal lesions-Reference-Cited by-同舟云学术

Development of multi‐class computer‐aided diagnostic systems using the NICE/JNET classifications for colorectal lesions

Published:2021-09-14 Issue:1 Volume:37 Page:104-110
ISSN:0815-9319
Container-title:Journal of Gastroenterology and Hepatology
language:en
Short-container-title:J of Gastro and Hepatol

Author:

Okamoto Yuki¹,Yoshida Shigeto²^ORCID,Izakura Seiji³,Katayama Daisuke³,Michida Ryuichi³,Koide Tetsushi³,Tamaki Toru⁴,Kamigaichi Yuki¹,Tamari Hirosato¹,Shimohara Yasutsugu¹,Nishimura Tomoyuki¹,Inagaki Katsuaki¹,Tanaka Hidenori⁵,Yamashita Ken⁵,Sumimoto Kyoku⁵,Oka Shiro¹^ORCID,Tanaka Shinji⁵

Affiliation:

1. Department of Gastroenterology and Metabolism Hiroshima University Hospital Hiroshima Japan

2. Department of Gastroenterology JR Hiroshima Hospital Hiroshima Japan

3. Research Institute for Nanodevice and Bio Systems Hiroshima University Hiroshima Japan

4. Department of Computer Science Nagoya Institute of Technology Nagoya Japan

5. Department of Endoscopy Hiroshima University Hospital Hiroshima Japan

Publisher

Wiley

Subject

Gastroenterology,Hepatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jgh.15682

Reference48 articles.

1. AIM TO UNIFY THE NARROW BAND IMAGING (NBI) MAGNIFYING CLASSIFICATION FOR COLORECTAL TUMORS: CURRENT STATUS IN JAPAN FROM A SUMMARY OF THE CONSENSUS SYMPOSIUM IN THE 79TH ANNUAL MEETING OF THE JAPAN GASTROENTEROLOGICAL ENDOSCOPY SOCIETY

2. Validation of a Simple Classification System for Endoscopic Diagnosis of Small Colorectal Polyps Using Narrow-Band Imaging

3. Endoscopic prediction of deep submucosal invasive carcinoma: validation of the Narrow-Band Imaging International Colorectal Endoscopic (NICE) classification

4. Narrow-band imaging (NBI) magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team

5. Clinical impact and characteristics of the narrow-band imaging magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team

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