Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …

The rising prevalence of age-related eye diseases, particularly age-related macular
degeneration, places an ever-increasing burden on health care providers. As new …

Artificial intelligence (AI) based on convolutional neural networks (CNNs) has a great
potential to enhance medical workflow and improve health care quality. Of particular interest …

Background Accurate retinal layer segmentation in optical coherence tomography (OCT)
images is crucial for quantitatively analyzing age-related macular degeneration (AMD) and …

Identification of the macular pathologies at an early stage can prevent vision loss. Similarity
in the pathological manifestations of common macular disorders like age related macular …

Background and Objective. To determine if using a multi‐input deep learning approach in
the image analysis of optical coherence tomography (OCT), OCT angiography (OCT‐A), and …

Age-related macular degeneration (AMD) is the leading cause of progressive vision loss in
the elderly. Optical coherence tomography (OCT) is a promising diagnostic tool for early …

Segmentation of retinal layers in optical coherence tomography (OCT) is an essential step in
OCT image analysis for screening, diagnosis, and assessment of retinal disease …

Aim To analyse the choriocapillaris (CC) flow status in the area that subsequently showed
geographic atrophy (GA) expansion secondary to age-related macular degeneration (AMD) …

Age-related macular degeneration (AMD) is a vision-threatening disease that affects the
outer retina and choroid of elderly adults. Because photoreceptors are found in the outer …