Imaging Features by Machine Learning for Quantification of Optic Disc Changes and Impact on Choroidal Thickness in Young Myopic Patients

Imaging Features by Machine Learning for Quantification of Optic Disc Changes and Impact on Choroidal Thickness in Young Myopic Patients

Purpose: To construct quantifiable models of imaging features by machine learning describing early changes of optic disc and peripapillary region, and to explore their performance as early indicators for choroidal thickness (ChT) in young myopic patients.Methods: Eight hundred and ninety six subject...

Full description

Bibliographic Details
Main Authors: Dandan Sun, Yuchen Du, Qiuying Chen, Luyao Ye, Huai Chen, Menghan Li, Jiangnan He, Jianfeng Zhu, Lisheng Wang, Ying Fan, Xun Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Medicine
Subjects:
myopia
machine learning
radiomics
optic disc
choroidal thickness
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.657566/full

Similar Items

Similar Items