Deep learning-based optic disc classification is affected by optic-disc tilt

Abstract We aimed to determine the effect of optic disc tilt on deep learning-based optic disc classification. A total of 2507 fundus photographs were acquired from 2236 eyes of 1809 subjects (mean age of 46 years; 53% men). Among all photographs, 1010 (40.3%) had tilted optic discs. Image annotatio...

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Bibliographic Details
Main Authors: Youngwoo Nam, Joonhyoung Kim, Kyunga Kim, Kyung-Ah Park, Mira Kang, Baek Hwan Cho, Sei Yeul Oh, Changwon Kee, Jongchul Han, Ga-In Lee, Min Chae Kang, Dongyoung Lee, Yeeun Choi, Hee Jee Yun, Hansol Park, Jiho Kim, Soo Jin Cho, Dong Kyung Chang
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-50256-4