RT Journal Article
SR Electronic
T1 Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images
JF British Journal of Ophthalmology
JO Br J Ophthalmol
FD BMJ Publishing Group Ltd.
SP bjophthalmol-2020-317327
DO 10.1136/bjophthalmol-2020-317327
A1 Zhongwen Li
A1 Chong Guo
A1 Duoru Lin
A1 Danyao Nie
A1 Yi Zhu
A1 Chuan Chen
A1 Lanqin Zhao
A1 Jinghui Wang
A1 Xulin Zhang
A1 Meimei Dongye
A1 Dongni Wang
A1 Fabao Xu
A1 Chenjin Jin
A1 Ping Zhang
A1 Yu Han
A1 Pisong Yan
A1 Ying Han
A1 Haotian Lin
YR 2020
UL http://bjo.bmj.com/content/early/2020/10/01/bjophthalmol-2020-317327.abstract
AB Background/Aims To develop a deep learning system for automated glaucomatous optic neuropathy (GON) detection using ultra-widefield fundus (UWF) images.Methods We trained, validated and externally evaluated a deep learning system for GON detection based on 22 972 UWF images from 10 590 subjects that were collected at 4 different institutions in China and Japan. The InceptionResNetV2 neural network architecture was used to develop the system. The area under the receiver operating characteristic curve (AUC), sensitivity and specificity were used to assess the performance of detecting GON by the system. The data set from the Zhongshan Ophthalmic Center (ZOC) was selected to compare the performance of the system to that of ophthalmologists who mainly conducted UWF image analysis in clinics.Results The system for GON detection achieved AUCs of 0.983–0.999 with sensitivities of 97.5–98.2% and specificities of 94.3–98.4% in four independent data sets. The most common reasons for false-negative results were confounding optic disc characteristics caused by high myopia or pathological myopia (n=39 (53%)). The leading cause for false-positive results was having other fundus lesions (n=401 (96%)). The performance of the system in the ZOC data set was comparable to that of an experienced ophthalmologist (p>0.05).Conclusion Our deep learning system can accurately detect GON from UWF images in an automated fashion. It may be used as a screening tool to improve the accessibility of screening and promote the early diagnosis and management of glaucoma.