… By hand, eye disease diagnosis is labor-intensive, prone to mistakes, … ocular diseases such
as glaucoma (GA), diabetic retinopathy (DR), cataract (CT), and normal eye-related diseases …

… & Fattah, SAAn automatic ocular disease detection scheme from enhanced fundus images
based on ensembling deep cnn networks. In Proceedings of the 2020 11th International …

… A strategy to self-speculate the relevant information from CFPs is necessary for the … KD
inspired activation-based attention transfer between a deeper teacher network and a shallower …

… , the goal of our ocular disease classification method is to … attention unit, we extend the
self-attention (1) to the region-guided attention module and construct the region-guided attention …

… Various ocular diseases manifest themselves in the layered structure of the retina, such as
glaucoma, central serous chorioretinopathy, and unilateral anterior ischemic optic neuropathy…

… Deep learning-based ocular image analysis can be used in … -label fundus images whereas
self-supervising learning is … In this manuscript, a novel attention-based model is proposed …

… Recent studies have verified that the ocular diseases, such as glaucoma, pathologic
myopia and maculopathy, and other related human diseases, such as high blood pressure, …

… self-attention mechanism to take full advantage of convolution and self-attention, generating
attention-… Retinopathy of Prematurity (ROP) is an ocular disease, which frequently occurs in …

… -supervised feature learning techniques receive a lot of attention, as they do not … diseases
can greatly benefit from another imaging modality, eg, FFA, this paper presents a novel self-…

… post-hoc attention mechanisms which can only visualize CNN features, our self-attended …
mapping of the metabolically occurring fluorophores of the ocular fundus 7 . As atrophy ensues, …