Geographic Atrophy Segmentation Using Multimodal Deep Learning

PURPOSE: To examine deep learning (DL)–based methods for accurate segmentation of geographic atrophy (GA) lesions using fundus autofluorescence (FAF) and near-infrared (NIR) images. METHODS: This retrospective analysis utilized imaging data from study eyes of patients enrolled in Proxima A and B (NC...

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Detalles Bibliográficos
Autores principales: Spaide, Theodore, Jiang, Jiaxiang, Patil, Jasmine, Anegondi, Neha, Steffen, Verena, Kawczynski, Michael G., Newton, Elizabeth M., Rabe, Christina, Gao, Simon S., Lee, Aaron Y., Holz, Frank G., Sadda, SriniVas, Schmitz-Valckenberg, Steffen, Ferrara, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Retina
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341294/
https://www.ncbi.nlm.nih.gov/pubmed/37428131
http://dx.doi.org/10.1167/tvst.12.7.10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341294/
https://www.ncbi.nlm.nih.gov/pubmed/37428131
http://dx.doi.org/10.1167/tvst.12.7.10

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