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

Developing efficient vessel-tracking algorithms is crucial for imaging-based diagnosis and
treatment of vascular diseases. Vessel tracking aims to solve recognition problems such as …

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 …

Background and objective Deep learning techniques are instrumental in developing 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 …

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 …

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 …

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 …

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 and objective: Coronary artery disease, which is mostly caused by
atherosclerotic narrowing of the coronary artery lumen, is a leading cause of death …