DRISTI: a hybrid deep neural network for diabetic retinopathy diagnosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-01904-7.pdf
Reference33 articles.
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2. Afshar, P., Heidarian, S., Naderkhani, F., Oikonomou, A., Plataniotis, K.N., Mohammadi, A.: Covid-caps: a capsule network-based framework for identification of covid-19 cases from x-ray images (2020)
3. Arora, M., Pandey, M.: Deep neural network for diabetic retinopathy detection. In: COMITCon (2019)
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5. Decencière, E., Zhang, X., Cazuguel, G., Lay, B., Cochener, B., Trone, C., Gain, P., Ordonez, R., Massin, P., Erginay, A., Charton, B., Klein, J.C.: Feedback on a publicly distributed image database: the messidor database. Image Anal. Stereol. 33(3), 1005 (2014)
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