Toshihiko Nagasawa1, Hitoshi Tabuchi2, Hiroki Masumoto2, Hiroki Enno3, Masanori Niki4, Zaigen Ohara2, Yuki Yoshizumi2, Hideharu Ohsugi2, Yoshinori Mitamura4. 1. Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji City, Hyogo Prefecture, 671-1227, Japan. t.nagasawa@tsukazaki-eye.net. 2. Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji City, Hyogo Prefecture, 671-1227, Japan. 3. Rist Inc., Tokyo, Japan. 4. Department of Ophthalmology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
Abstract
PURPOSE: 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). METHODS: 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. RESULT: 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. CONCLUSION: Our findings suggested that PDR could be diagnosed using wide-angle camera images and deep learning.
PURPOSE: 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). METHODS: 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. RESULT: 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. CONCLUSION: Our findings suggested that PDR could be diagnosed using wide-angle camera images and deep learning.
Entities:
Keywords:
Deep convolutional neural network; Deep learning; Proliferative diabetic retinopathy; Ultrawide-field fundus ophthalmoscopy
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