Deep learning (DL) has become widely used for medical image segmentation in recent
years. However, despite these advances, there are still problems for which DL-based …

Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its
implementation will be focused on the automatization tasks, improving diagnostic accuracy …

Automatic liver and tumor segmentation play a significant role in clinical interpretation and
treatment planning of hepatic diseases. To segment liver and tumor manually from the …

Multi-sequence cardiac magnetic resonance (CMR) provides essential pathology
information (scar and edema) to diagnose myocardial infarction. However, automatic …

Automatic liver and tumor segmentation are essential steps to take decisive action in hepatic
disease detection, deciding therapeutic planning, and post-treatment assessment. The …

Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …

Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …

Purpose Stereotactic radiosurgery (SRS) is widely used to obliterate arteriovenous
malformations (AVMs). Its performance relies on the accuracy of delineating the target AVM …

The risk of coronary heart disease (CHD) clinical manifestations and patient management is
estimated according to risk scores accounting multifactorial risk factors, thus failing to cover …

Cardiovascular disease remains an integral field on which new research in both the
biomedical and technological fields is based, as it remains the leading cause of mortality …