Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images

PURPOSE: To automatically and accurately segment geographic atrophy (GA) in spectral-domain optical coherence tomography (SD-OCT) images by constructing a voting system with deep neural networks without the use of retinal layer segmentation. METHODS: An automatic GA segmentation method for SD-OCT im...

Descripción completa

Detalles Bibliográficos
Autores principales: Ji, Zexuan, Chen, Qiang, Niu, Sijie, Leng, Theodore, Rubin, Daniel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749649/
https://www.ncbi.nlm.nih.gov/pubmed/29302382
http://dx.doi.org/10.1167/tvst.7.1.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749649/
https://www.ncbi.nlm.nih.gov/pubmed/29302382
http://dx.doi.org/10.1167/tvst.7.1.1

Ejemplares similares