… 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 …

… 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 …

… After briefly discussing the cause of the different ocular diseases, a gist of the major … × 7 for
Vision Transformer with self-attention, as shown in Fig. 3. Self-attention linearly expands each …

… , 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 …

… -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-…

… Hence, in this paper, our goal is to present a self-supervised method, which learns the …
disease classification tasks. Recently, self-supervised learning has attracted increasing 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…

… tasks lies in the adopted self-attention mechanism, 13 which … In contrast, the self-attention
mechanism provides context for … trial of 1636 subjects with ocular hypertension, was designed …

… We propose a diagnostic classification model for ocular surface diseases, dual-branch …
Multi-head self-attention is a technique that introduces multiple heads into the self-attention …

… Self-attention mechanisms empower models to independently attend to … attention
mechanisms may utilise techniques such as channel attention, spatial attention, or self-attention…