Open AccessDevelopment of Deep Learning Models to Predict Best-Corrected Visual Acuity from Optical Coherence Tomography
Author(s) -
Michael Kawczynski,
Thomas Bengtsson,
Jian S. Dai,
J. Jill Hopkins,
Simon S. Gao,
Jeffrey R. Willis
Publication year - 2020
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.9.2.51
Subject(s) - optical coherence tomography , medicine , mean squared error , receiver operating characteristic , ophthalmology , visual acuity , regression , artificial intelligence , optometry , computer science , mathematics , statistics
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