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A general framework for detecting diabetic retinopathy lesions in eye fundus images.

, , , , , , , and . CBMS, page 1-6. IEEE Computer Society, (2012)

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Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs., , , , , and . IEEE Trans. Medical Imaging, 27 (9): 1230-1241 (2008)ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis., , , , , and . CoRR, (2020)Automatic detection of multiple pathologies in fundus photographs using spin-off learning., , , , and . CoRR, (2019)Deep image mining for diabetic retinopathy screening., , , , and . CoRR, (2016)A multiple-instance learning framework for diabetic retinopathy screening., , , , , , , and . Medical Image Anal., 16 (6): 1228-1240 (2012)Detection of lesions in retina photographs based on the wavelet transform., , , , , and . EMBC, page 2618-2621. IEEE, (2006)Smart data augmentation for surgical tool detection on the surgical tray., , , and . EMBC, page 4407-4410. IEEE, (2017)L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction., , , , , , , , , and 2 other author(s). CoRR, (2024)Detection of diabetic retinopathy using longitudinal self-supervised learning., , , , , , , and . CoRR, (2022)Real-time retrieval of similar videos with application to computer-aided retinal surgery., , , , , and . EMBC, page 4465-4468. IEEE, (2011)