Abstract:
PURPOSE:The purpose of this study was to evaluate the accuracy of the convolutional neural network (CNN) model in glaucoma identification with three primary colors (red, green, blue; RGB) and split color channels using fundus photographs with a small sample size. METHODS:The dataset was prepared using color fundus photographs captured with a fundus camera (VX-10i, Kowa Co., Ltd., Tokyo, Japan). The training dataset consisted of 200 images, and the validation dataset contained 60 images. In the preprocessing stage, the color channels for the fundus images were separated into red (red model), green (green model), and blue (blue model) using OpenCV on Windows. All images were resized to squares with a size of 512 × 512 pixels for preprocessing before input into the model, and the model was fine-tuned with VGG16. RESULTS:The diagnostic performance was significantly higher in the green model [area under the curve (AUC) 0.946; 95% confidence interval (CI) 0.851-0.982] than in the RGB model (AUC 0.800; 95% CI 0.658-0.893; P = 0.006), red model (AUC 0.746; 95% CI 0.601-0.851; P = 0.002), and blue model (AUC 0.558; 95% CI 0.405-0.700; P < 0.001). CONCLUSION:The present study showed that the green digital filter is useful for structuring CNN models for automatic discrimination of glaucoma using fundus photographs with a small sample size. The present findings suggest that preprocessing, when creating the CNN model, is an important step for the identification of a large number of retinal diseases using color fundus photographs.
journal_name
Int Ophthalmoljournal_title
International ophthalmologyauthors
Hirota M,Mizota A,Mimura T,Hayashi T,Kotoku J,Sawa T,Inoue Kdoi
10.1007/s10792-020-01485-3subject
Has Abstractpub_date
2020-11-01 00:00:00pages
3013-3022issue
11eissn
0165-5701issn
1573-2630pii
10.1007/s10792-020-01485-3journal_volume
40pub_type
杂志文章abstract::We report a case of choroidal melanoma with features suggestive of orbital cellulitis. A 24-year-old Asian Indian male presented with a 20-day history of sudden loss of vision in the right eye. Edematous eyelids with complete mechanical ptosis, complete ophthalmoplegia, gross proptosis accompanied by massive chemosis,...
journal_title:International ophthalmology
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journal_title:International ophthalmology
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pub_type: 已发布勘误
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