Open AccessFeasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning
Author(s) -
Philippe Valmaggia,
Philipp Friedli,
Beat Hörmann,
Pascal Kaiser,
Hendrik P. N. Scholl,
Philippe C. Cattin,
Robin Sandkühler,
Peter M. Maloca
Publication year - 2022
Publication title -
translational vision science and technology
Language(s) - English
Resource type - Journals
ISSN - 2164-2591
DOI - 10.1167/tvst.11.9.25
Subject(s) - optical coherence tomography , segmentation , artificial intelligence , deep learning , sørensen–dice coefficient , artificial neural network , pattern recognition (psychology) , computer science , net (polyhedron) , f1 score , image segmentation , ophthalmology , medicine , mathematics , geometry