… Abstract: This paper presents a novel U-Net model incorporating … OCT is an ophthalmology
tool that provides detailed insights … Our proposed model combines edge and spatial attention …

… the analysis of ocular structures. It has had a huge impact on the field of ophthalmic imaging,
… of DSC, P and T represent the prediction and ground truth of the U-net model, respectively: …

… U-Net architecture variants across four different OCT datasets from a range of different
populations, ocular … of this study for future work with U-Net based models for OCT retinal layer …

… very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This …
based on a simplified version of the U-Net architecture that combines residual blocks and …

… two-stage U-net model in which the first U-net segments the … technique used for the
detection and diagnosis of ocular … Though ophthalmic imaging has a far narrower scope than …

… Specialized deep learning architecture termed U-net and its existing variants (based on …
models: (1) U-net with Vgg16 backbone termed here at UVgg, (2) hybrid of ResNet and U-net …

… Optical coherence tomography (OCT) is a 3D state-of-the-art imaging modality that is
currently extensively used for clinical diagnosis and treatment planning in ophthalmology. OCT …

… Our attention U-Net model incorporating the transfer learning mechanism is shown … U-Net
model with randomly initialized weights. Moreover, the mean_iou value obtained by our model …

… model training and validation through a step by step transformation of the model from our
proposed method to the standard U-Net … Future work consists of extending the volume of eye …

… neuro-ophthalmology. His current research interests include image analysis of ocular diseases,
… relationship between optical coherence tomography (OCT) images and ocular diseases. …