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Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning

PURPOSE: To evaluate the feasibility of automated segmentation of pigmented choroidal lesions (PCLs) in optical coherence tomography (OCT) data and compare the performance of different deep neural networks. METHODS: Swept-source OCT image volumes were annotated pixel-wise for PCLs and background. Th...

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Detalles Bibliográficos
Autores principales:	Valmaggia, Philippe, Friedli, Philipp, Hörmann, Beat, Kaiser, Pascal, Scholl, Hendrik P. N., Cattin, Philippe C., Sandkühler, Robin, Maloca, Peter M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Association for Research in Vision and Ophthalmology 2022
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526362/ https://www.ncbi.nlm.nih.gov/pubmed/36156729 http://dx.doi.org/10.1167/tvst.11.9.25

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