A Novel Approach for Detection of Hard Exudates Using Random Forest Classifier

Convolutional Neural Networks for Diabetic Retinopathy

Harry Pratt, Frans Coenen, Deborah Broadbent et al. · Procedia Computer Science · 2016 · 951 citations · Full text

Computing, Computer Science, Ophthalmology +17

A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina

Thomas Walter, J.C. Klein, Pascale Massin et al. · IEEE Transactions on Medical Imaging · 2002 · 825 citations

Computing, Computer Science, Ophthalmology +16

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski et al. · Medical Image Analysis · 2011 · 325 citations

Health Professions, Biomedical Engineering, Ophthalmology +15

Detection and classification of retinal lesions for grading of diabetic retinopathy

Muhammad Usman Akram, Shehzad Khalid, Anam Tariq et al. · Computers in Biology and Medicine · 2013 · 289 citations

Medicine, Ophthalmology, Pathology +14

Classification of Diabetic Retinopathy Images by Using Deep Learning Models

Suvajit Dutta, B. Manideep, Syed Muzamil Basha et al. · International Journal of Grid and Distributed Computing · 2018 · 281 citations

Computing, Computer Science, Ophthalmology +17