z-logo
open-access-imgOpen Access
A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images
Author(s) -
Zhongwen Li,
Chong Guo,
Danyao Nie,
Duoru Lin,
Yi Zhu,
Chuan Chen,
Li Zhang,
Fabao Xu,
Chenjin Jin,
Xiayin Zhang,
Hui Xiao,
Kai Zhang,
Lanqin Zhao,
Shanshan Yu,
Guoming Zhang,
Jiantao Wang,
Haotian Lin
Publication year - 2019
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2019.11.28
Subject(s) - preprocessor , artificial intelligence , computer science , fundus (uterus) , test set , retinal , pattern recognition (psychology) , retinal degeneration , visualization , histogram , ophthalmology , medicine , image (mathematics)

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom