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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2022
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Materias: | |
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 |