Using a Deep Learning Model to Address Interobserver Variability in the Evaluation of Ulcerative Colitis (UC) Severity

Using a Deep Learning Model to Address Interobserver Variability in the Evaluation of Ulcerative Colitis (UC) Severity

The use of endoscopic images for the accurate assessment of ulcerative colitis (UC) severity is crucial to determining appropriate treatment. However, experts may interpret these images differently, leading to inconsistent diagnoses. This study aims to address the issue by introducing a standardizat...

Full description

Bibliographic Details
Main Authors: Jeong-Heon Kim, A Reum Choe, Yehyun Park, Eun-Mi Song, Ju-Ran Byun, Min-Sun Cho, Youngeun Yoo, Rena Lee, Jin-Sung Kim, So-Hyun Ahn, Sung-Ae Jung
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Journal of Personalized Medicine
Subjects:
endoscopy
ulcerative colitis
deep learning
interobserver variation
severity
Online Access:https://www.mdpi.com/2075-4426/13/11/1584

Internet

https://www.mdpi.com/2075-4426/13/11/1584

Similar Items