Artificial intelligence can assist with diagnosing retinal vein occlusion

Artificial intelligence can assist with diagnosing retinal vein occlusion

AIM: To assist with retinal vein occlusion (RVO) screening, artificial intelligence (AI) methods based on deep learning (DL) have been developed to alleviate the pressure experienced by ophthalmologists and discover and treat RVO as early as possible. METHODS: A total of 8600 color fundus photograph...

Full description

Saved in:
Bibliographic Details
Main Authors: Qiong Chen, Wei-Hong Yu, Song Lin, Bo-Shi Liu, Yong Wang, Qi-Jie Wei, Xi-Xi He, Fei Ding, Gang Yang, You-Xin Chen, Xiao-Rong Li, Bo-Jie Hu
Format: article
Language:EN
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2021
Subjects:
artificial intelligence
disease recognition
lesion segmentation
retinal vein occlusion
Ophthalmology
RE1-994
Online Access:https://doaj.org/article/fac787bbfb824c69816f918325d8960e
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/fac787bbfb824c69816f918325d8960e

Similar Items