ARTIFICIAL INTELLIGENCE FOR EVALUATION OF OPTICAL COHERENCE TOMOGRAPHY IMAGES

A neural network is trained to segment interferogram images. A first plurality of interferograms are obtained, where each interferograms corresponds to data acquired by an OCT system using a first scan pattern, annotating each of the plurality of interferograms to indicate a tissue structure of a re...

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Bibliographische Detailangaben
Hauptverfasser: STOLLER, Cyril, BUSCEMI, Philip M, WYDER, Stephan, PFISTER, Matthias
Format: Patent
Sprache:eng ; fre
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