… U-Net model incorporating a hybrid attention mechanism for automating the … attention
mechanisms with the U-Net architecture to improve segmentation accuracy. By leveraging attention …

… In this paper, we pay special attention to this section since the performance of the …
Specifically, we inspired on the OCT hybrid methodology followed in [20], but using pre-trained …

… As one kind of common ocular diseases, Glaucoma will damage the optic nerve and its …
could facilitate accurate diagnosis of ocular diseases and reasonable management of patients’ …

… underlying attention reorienting in a naturalistic environment. We employ a hierarchical
hybrid … We show that the hybrid classifier successfully captures neural and ocular reorienting …

… 8, we found that proposed model pays more attention to the dark-to-light change feature:
for some … Ge, “Comparison of ocular biometry between eyes with chronic primary angle-closure …

… to its advantage in imaging the ocular anatomic … attention network (DCANet) for automatic
segmentation of scleral deformation structure. Specifically, we design a scale-aware attention …

… AS-OCT images have gradually been used in the diagnosis of various anterior segment
ocular diseases such as glaucoma, cataracts, and keratitis [5]. For NC diagnosis, AS-OCT image …

… a very less computationally complex model using the attention layer in the form of Eyenet. In
… As a future task, we would like to explore the other eye-regions like peri-ocular region, eye-…

… hybrid ensemble model that combines a classifier, a feature extractor, and a feature selector.
The original image … The improved AlexNet (iAlexNet) architecture with attention and dense …

… from finer ocular structures in 3D OCT volumes. Therefore, we propose an end-to-end attention
… with 86.8% for a baseline model without the attention-guided component. The model also …