Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images

Evaluating the discrimination ability of a deep convolution neural network for ultrawide-field pseudocolor imaging and ultrawide-field autofluorescence of retinitis pigmentosa. In total, the 373 ultrawide-field pseudocolor and ultrawide-field autofluorescence images (150, retinitis pigmentosa; 223,...

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Detalles Bibliográficos
Autores principales: Masumoto, Hiroki, Tabuchi, Hitoshi, Nakakura, Shunsuke, Ohsugi, Hideharu, Enno, Hiroki, Ishitobi, Naofumi, Ohsugi, Eiko, Mitamura, Yoshinori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Ophthalmology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510218/
https://www.ncbi.nlm.nih.gov/pubmed/31119087
http://dx.doi.org/10.7717/peerj.6900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510218/
https://www.ncbi.nlm.nih.gov/pubmed/31119087
http://dx.doi.org/10.7717/peerj.6900

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