Open AccessPredicting Visual Improvement After Macular Hole Surgery: A Combined Model Using Deep Learning and Clinical Features
Author(s) -
Alexandre Lachance,
Mathieu Godbout,
Fares Antaki,
Mélanie Hébert,
Serge Bourgault,
Mathieu Caissie,
Éric Tourville,
Audrey Durand,
Ali Dirani
Publication year - 2022
Publication title -
translational vision science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.508
H-Index - 21
ISSN - 2164-2591
DOI - 10.1167/tvst.11.4.6
Subject(s) - optical coherence tomography , receiver operating characteristic , artificial intelligence , convolutional neural network , logistic regression , medicine , diabetic retinopathy , deep learning , regression , visual acuity , feature (linguistics) , ophthalmology , pattern recognition (psychology) , computer science , mathematics , statistics , diabetes mellitus , linguistics , philosophy , endocrinology