Retinal vascular morphological characteristics in diabetic retinopathy: an artificial intelligence study using a transfer learning system to analyze ultra-wide field images

AIM: To investigate the morphological characteristics of retinal vessels in patients with different severity of diabetic retinopathy (DR) and in patients with or without diabetic macular edema (DME). METHODS: The 239 eyes of DR patients and 100 eyes of healthy individuals were recruited for the stud...

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Bibliographic Details

Published in:	International Journal of Ophthalmology
Main Authors:	Xin-Yi Deng, Hui Liu, Zheng-Xi Zhang, Han-Xiao Li, Jun Wang, Yi-Qi Chen, Jian-Bo Mao, Ming-Zhai Sun, Li-Jun Shen
Format:	Article
Language:	English
Published:	Press of International Journal of Ophthalmology (IJO PRESS) 2024-06-01
Subjects:	diabetic retinopathy vascular morphology deep learning ultra-wide field imaging diabetic macular edema
Online Access:	http://ies.ijo.cn/en_publish/2024/6/20240603.pdf