Nagasawa, Toshihiko Saneikai Tsukazaki Hospital
Tabuchi, Hitoshi Saneikai Tsukazaki Hospital
Masumoto, Hiroki Saneikai Tsukazaki Hospital
Enno, Hiroki Rist Inc.
Niki, Masanori Tokushima University Tokushima University Educator and Researcher Directory
Ohara, Zaigen Saneikai Tsukazaki Hospital
Yoshizumi, Yuki Saneikai Tsukazaki Hospital
Ohsugi, Hideharu Saneikai Tsukazaki Hospital
Ultrawide-field fundus ophthalmoscopy
Proliferative diabetic retinopathy
Deep convolutional neural network
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) and constructed a deep learning model. The area under the curve (AUC), sensitivity, and specificity were examined.
The constructed deep learning model demonstrated a high sensitivity of 94.7% and a high specificity of 97.2%, with an AUC of 0.969.
Our findings suggested that PDR could be diagnosed using wide-angle camera images and deep learning.
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