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Deep Learning-Based System for Disease Screening and Pathologic Region Detection From Optical Coherence Tomography Images
PURPOSE: This study was designed to apply deep learning models in retinal disease screening and lesion detection based on optical coherence tomography (OCT) images. METHODS: We collected 37,138 OCT images from 775 patients and labelled by ophthalmologists. Multiple deep learning models including Res...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896901/ https://www.ncbi.nlm.nih.gov/pubmed/36716039 http://dx.doi.org/10.1167/tvst.12.1.29 |