… The study has identified multiple weaknesses that necesesitate attention, specifically the …
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease …

… attention professional is the identification and prognosis of the eye … The device is designed
to evolve via self- gaining knowledge of, which include new classifications for prognosis and …

… -attention and self-attention fusion. Two images \(\textrm{ROI}_{a}\) and \(\textrm{ROI}_{b}\)
with different scales (\(\times 1\) and \(\times 2\), ie \(256\times 256\) and \(512\times 512\)) are …

… in size, JPEG format) from the Xiamen Eye Center for the recognition of ocular redness in
this study. A total of four types of ocular redness were included: normal control group (NC), …

… for detecting multiple ocular diseases. Many researchers are … ocular: Improved transfer
learning architecture using selfattention and dense layers for recognition of ocular diseases…

… the four fields: ocular ultrasound recognition, attention mechanism, … self-correcting, promoting
the network to extract robust and disentangled representations. Though the global attention …

… Self-supervised pretraining offers a solution by … (NCME-Net), which utilizes self-supervised
pretraining for the four-class … In addition, the effect of different self-supervised tasks on the …

… detection of 28 ocular abnormalities consisting of … self-attention block, cross-attention
block, and Feed-Forward Network (FFN) block. The four-head self-attention produces intra-attention …

… features, and updates the label embeddings by tight interaction with image spatial features
via self-attention and cross-attention. Furthermore, we propose dual-pool contrastive training (…

… disease worldwide and deserves attention for diagnosis and treatment to avoid irreversible
sequelae. Ocular surface disease (… to the chronic use of ocular intraocular pressure–lowering …