Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …

Deep learning evolves into a new form of machine learning technology that is classified
under artificial intelligence (AI), which has substantial potential for large-scale healthcare …

Purpose: We used fractal dimensional analysis to analyze retinal vascular disease burden in
eyes with diabetic retinopathy using spectral-domain optical coherence tomography …

Purpose: This study aims to characterize quantitative optical coherence tomography
angiography (OCTA) features of nonproliferative diabetic retinopathy (NPDR) and to validate …

Retinal microaneurysms (MAs) are the earliest clinical sign of diabetic retinopathy disease.
Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of …

Artificial intelligence (AI) classification holds promise as a novel and affordable screening
tool for clinical management of ocular diseases. Rural and underserved areas, which suffer …

Diabetic retinopathy (DR) is a diabetes complication, which in extreme situations may lead
to blindness. Since the first stages are often asymptomatic, regular eye examinations are …

Fundus imaging is one of the crucial methods that help ophthalmologists for diagnosing the
various eye diseases in modern medicine. An accurate vessel segmentation method can be …

Optical coherence tomography angiography (OCTA) offers a noninvasive label-free solution
for imaging retinal vasculatures at the capillary level resolution. In principle, improved …

One of the earliest signs of diabetic retinopathy is the appearance of small and round red
dots in retinal fundus images, known as microaneurysms. Microaneurysms automatic …