Ontology highlight
ABSTRACT:
SUBMITTER: Maloca PM
PROVIDER: S-EPMC6697318 | biostudies-other | 2019
REPOSITORIES: biostudies-other
Maloca Peter M PM Lee Aaron Y AY de Carvalho Emanuel R ER Okada Mali M Fasler Katrin K Leung Irene I Hörmann Beat B Kaiser Pascal P Suter Susanne S Hasler Pascal W PW Zarranz-Ventura Javier J Egan Catherine C Heeren Tjebo F C TFC Balaskas Konstantinos K Tufail Adnan A Scholl Hendrik P N HPN
PloS one 20190816 8
<h4>Purpose</h4>To benchmark the human and machine performance of spectral-domain (SD) and swept-source (SS) optical coherence tomography (OCT) image segmentation, i.e., pixel-wise classification, for the compartments vitreous, retina, choroid, sclera.<h4>Methods</h4>A convolutional neural network (CNN) was trained on OCT B-scan images annotated by a senior ground truth expert retina specialist to segment the posterior eye compartments. Independent benchmark data sets (30 SDOCT and 30 SSOCT) wer ...[more]