Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy

The aim of this study is to assess the performance of two machine-learning technologies, namely, deep learning (DL) and support vector machine (SVM) algorithms, for detecting central retinal vein occlusion (CRVO) in ultrawide-field fundus images. Images from 125 CRVO patients (n=125 images) and 202...

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Detalles Bibliográficos
Autores principales: Nagasato, Daisuke, Tabuchi, Hitoshi, Ohsugi, Hideharu, Masumoto, Hiroki, Enno, Hiroki, Ishitobi, Naofumi, Sonobe, Tomoaki, Kameoka, Masahiro, Niki, Masanori, Hayashi, Ken, Mitamura, Yoshinori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236766/
https://www.ncbi.nlm.nih.gov/pubmed/30515316
http://dx.doi.org/10.1155/2018/1875431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236766/
https://www.ncbi.nlm.nih.gov/pubmed/30515316
http://dx.doi.org/10.1155/2018/1875431

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