Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …

Breast cancer analysis implies that radiologists inspect mammograms to detect suspicious
breast lesions and identify mass tumors. Artificial intelligence techniques offer automatic …

Medical image segmentation is an essential task in clinical diagnosis and case analysis.
Most of the existing methods are based on U-shaped convolutional neural networks (CNNs) …

Abstract Segmentation of abdominal Computed Tomography (CT) scan is essential for
analyzing, diagnosing, and treating visceral organ diseases (eg, hepatocellular carcinoma) …

Automatic liver segmentation gained significant attention in the medical realm to deal with
liver anomalies. Furthermore, due to advancements in medical imaging, data volume is …

In recent years, the prevalence of coronary artery disease (CAD) has become one of the
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …

The number of brain tumor cases has increased in recent years. Therefore, accurate
diagnosis and treatment of brain tumors are extremely important. Accurate detection of tumor …

The liver is one of the vital organs in the body. Precise liver segmentation in medical images
is essential for liver disease treatment. The deep learning-based liver segmentation process …

Background and Objective: A thyroid nodule is an abnormal lump that grows in the thyroid
gland, which is the early symptom of thyroid cancer. In order to diagnose and treat thyroid …

Featured Application The work described in this paper will support applications that can be
employed in fish culture or in the wild. These applications can be used to monitor fish growth …