Open AccessDeep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2
Author(s) -
Jessica Loo,
Cindy X. Cai,
John Choong,
Emily Y. Chew,
Martin Friedlander,
Glenn J. Jaffe,
Sina Farsiu
Publication year - 2020
Publication title -
british journal of ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.016
H-Index - 153
eISSN - 1468-2079
pISSN - 0007-1161
DOI - 10.1136/bjophthalmol-2020-317131
Subject(s) - optical coherence tomography , retinal , sørensen–dice coefficient , macular telangiectasia , segmentation , artificial intelligence , computer science , medicine , convolutional neural network , retina , ophthalmology , pattern recognition (psychology) , image segmentation , fluorescein angiography , optics , physics
To develop a fully automatic algorithm to segment retinal cavitations on optical coherence tomography (OCT) images of macular telangiectasia type 2 (MacTel2).