Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …

Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic
patients. Early detection of the DR can save many patients from permanent blindness …

Abstract Background and Objective: Although automated Skin Lesion Classification (SLC) is
a crucial integral step in computer-aided diagnosis, it remains challenging due to variability …

Purpose: To externally validate a deep learning pipeline (AutoMorph) for automated
analysis of retinal vascular morphology on fundus photographs. AutoMorph has been made …

Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …

The healthcare burden of cardiovascular diseases remains a major issue worldwide.
Understanding the underlying mechanisms and improving identification of people with a …

Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …

Blood vessels are harmed in diabetic retinopathy (DR), a condition that impairs vision. Using
modern healthcare research and technology, artificial intelligence and processing units are …

Diabetic retinopathy is a retinal eye disease due to presence of diabetes and diabetes can
be described as metabolic disorder in which glucose level is higher in human body. Diabetic …