Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

Hemodynamic factors, induced by pulsatile blood flow, play a crucial role in vascular health
and diseases, such as the initiation and progression of atherosclerosis. Computational fluid …

Colorectal cancer is one of the highest causes of cancer-related death, especially in men.
Polyps are one of the main causes of colorectal cancer, and early diagnosis of polyps by …

Coronary angiography is the primary procedure for diagnosis and management decisions in
coronary artery disease (CAD), but ad-hoc visual assessment of angiograms has high …

Background and objective Deep learning techniques are instrumental in develo** network
models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose …

X-ray coronary angiography is a primary imaging technique for diagnosing coronary
diseases. Although quantitative coronary angiography (QCA) provides morphological …

Recently, deep learning has been widely used in the imaging field. Residual, pyramid and
attention networks are proposed successively, and are extensively used because of their …

Background Coronary artery disease (CAD) is the leading cause of death in the United
States (US) and a major contributor to healthcare cost. Accurate segmentation of coronary …

Main coronary segmentation from the X-ray angiography images is important for the
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …

Abstract Coronary Artery Disease (CAD) is commonly diagnosed using X-ray angiography,
in which images are taken as radio-opaque dye is flushed through the coronary vessels to …