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Deep Learning based Intraretinal Layer Segmentation using Cascaded Compressed U-Net

2021-11-21

Abstract excerpt

<h4>A bstract </h4> Intraretinal layer segmentation on macular optical coherence tomography (OCT) images generates non invasive biomarkers querying neuronal structures with near cellular resolution. While first deep learning methods have delivered promising results with high computing power demands, a reliable, power efficient and reproducible intraretinal layer segmentation is still an unmet need. We propose a ca...

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Literature Corpus work
053fa005-6c83-575a-9813-9a8edcd0faa6
DOI
10.1101/2021.11.19.21266592
Open publication

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Deep Learning based Intraretinal Layer Segmentation using Cascaded Compressed U-NetDOI 10.1101/2021.11.19.21266592
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