Collagen is a ubiquitous biomaterial in vertebrate animals. Although each of its 28 subtypes
contributes to the functions of many different tissues in the body, most studies on collagen or …

Background and objectives Optical coherence tomography (OCT) has ushered in a
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …

The early detection and classification of lung cancer is crucial for improving a patient's
outcome. However, the traditional classification methods are based on single machine …

Age related macular degeneration (AMD) represents a leading cause of vision loss and it is
expected to affect 288 million people by 2040. During the last decade, machine learning …

Purpose To analyze reticular pseudodrusen (RPD) as an independent risk factor for
progression to late age-related macular degeneration (AMD), alongside traditional macular …

AI-based models have shown promising results in diagnosing eye diseases based on multi-
sources of data collected from medical IOT systems. However, there are concerns regarding …

A new system based on binary Deep Learning (DL) convolutional neural networks has been
developed to recognize specific retinal abnormality signs on Optical Coherence …

Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …

Diabetic retinopathy (DR) is a leading cause of blindness and affects millions of people
throughout the world. Early detection and timely checkups are key to reduce the risk of …

Abstract Within the next 1.5 decades, 1 in 7 US adults is anticipated to suffer from age-
related macular degeneration (AMD), a degenerative retinal disease which leads to …