Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis
and monitoring its progression. Although several attempts have been made to segment …

Brain tumors are diseases that affect the most vital organs of the human body. Abnormal cell
development causes the growth of lesions in the human brain. In visualizing the emergence …

Intracerebral hemorrhage (ICH) is a life-threatening disease that requires emergency
medical attention, which is routinely diagnosed using non-contrast head CT imaging. ICH is …

Cardiac image segmentation is a critical step in the early detection of cardiovascular
disease. The segmentation of the biventricular is a prerequisite for evaluating cardiac …

Background Bile duct injuries during laparoscopic cholecystectomy can arise from
misinterpretation of biliary anatomy, leading to dissection in improper areas. The integration …

Biomedical image analysis plays a crucial role in enabling high-performing imaging and
various clinical applications. For the proper diagnosis of blood diseases related to red blood …

The image captioning task is increasingly prevalent in artificial intelligence applications for
medicine. One important application is clinical report generation from chest radiographs …

Skin conditions influence people of all ages and genders and impose an enormous strain on
worldwide public health. For efficient management and medical treatment, skin disorders …

The study introduces the Brain Tumor Detection Transfer Learning Algorithm (BTDTLA), a
novel model that employs transfer learning and a comprehensive dataset of brain images …

Because brain stroke is a potentially fatal medical illness, prompt and correct diagnosis is
essential for prompt health treatment, better patient outcomes, and improved mortality. It can …