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
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 annotation was performed to label pathologic changes of the optic disc (normal, glaucomatous optic disc changes, disc swelling, and disc pallor). Deep learning-based classification modeling was implemented to develop optic-disc appearance classification models with the photographs of all subjects and those with and without tilted optic discs...
January 4, 2024: Scientific Reports