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Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning
PURPOSE: To use a deep learning model to develop a fully automated method (fully semantic network and graph search [FS-GS]) of retinal segmentation for optical coherence tomography (OCT) images from patients with Stargardt disease. METHODS: Eighty-seven manually segmented (ground truth) OCT volume s...
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| Publicat a: | Transl Vis Sci Technol |
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| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Association for Research in Vision and Ophthalmology
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7581491/ https://ncbi.nlm.nih.gov/pubmed/33133774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.9.11.12 |
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