Application of Deep Learning for Automated Detection of Polypoidal Choroidal Vasculopathy in Spectral Domain Optical Coherence Tomography

OBJECTIVE: To develop an automated polypoidal choroidal vasculopathy (PCV) screening model to distinguish PCV from wet age-related macular degeneration (wet AMD). METHODS: A retrospective review of spectral domain optical coherence tomography (SD-OCT) images was undertaken. The included SD-OCT image...

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Detalles Bibliográficos
Autores principales: Wongchaisuwat, Papis, Thamphithak, Ranida, Jitpukdee, Peerakarn, Wongchaisuwat, Nida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580222/
https://www.ncbi.nlm.nih.gov/pubmed/36219163
http://dx.doi.org/10.1167/tvst.11.10.16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580222/
https://www.ncbi.nlm.nih.gov/pubmed/36219163
http://dx.doi.org/10.1167/tvst.11.10.16

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