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Deep learning approaches for segmenting Bruch’s membrane opening from OCT volumes
Author(s) -
Dominika Sułot,
David AlonsoCaneiro,
D. Robert Iskander,
Michael J. Collins
Publication year - 2020
Publication title -
osa continuum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.592
H-Index - 8
ISSN - 2578-7519
DOI - 10.1364/osac.403102
Subject(s) - bruch's membrane , segmentation , artificial intelligence , computer science , deep learning , sørensen–dice coefficient , similarity (geometry) , pattern recognition (psychology) , image segmentation , pixel , boundary (topology) , computer vision , image (mathematics) , mathematics , ophthalmology , medicine , mathematical analysis , retinal , retinal pigment epithelium

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