Development and validation of an offline deep learning algorithm to detect vitreoretinal abnormalities on ocular ultrasound

PURPOSE: We describe our offline deep learning algorithm (DLA) and validation of its diagnostic ability to identify vitreoretinal abnormalities (VRA) on ocular ultrasound (OUS). METHODS: Enrolled participants underwent OUS. All images were classified as normal or abnormal by two masked vitreoretinal...

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Detalles Bibliográficos
Autores principales: Adithya, Venkatesh Krishna, Baskaran, Prabu, Aruna, S, Mohankumar, Arthi, Hubschman, Jean Pierre, Shukla, Aakriti Garg, Venkatesh, Rengaraj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Featured Article, Artificial Intelligence, Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240556/
https://www.ncbi.nlm.nih.gov/pubmed/35326003
http://dx.doi.org/10.4103/ijo.IJO_2119_21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240556/
https://www.ncbi.nlm.nih.gov/pubmed/35326003
http://dx.doi.org/10.4103/ijo.IJO_2119_21

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