Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy

We investigated using ultrawide-field fundus images with a deep convolutional neural network (DCNN), which is a machine learning technology, to detect treatment-naïve proliferative diabetic retinopathy (PDR).We conducted training with the DCNN using 378 photographic images (132 PDR and 246 non-PDR)...

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Detalhes bibliográficos
Principais autores: Toshihiko Nagasawa, Hitoshi Tabuchi, Hiroki Masumoto, Hiroki Enno, Masanori Niki, Zaigen Ohara, Yuki Yoshizumi, Hideharu Ohsugi, Yoshinori Mitamura
Formato: Carta
Idioma:Inglês
Publicado em: 2019
Acesso em linha:https://doi.org/10.1007/s10792-019-01074-z
https://link.springer.com/content/pdf/10.1007/s10792-019-01074-z.pdf
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