Background Artificial intelligence (AI) has become a prominent technique for medical
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …

Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …

Diabetes mellitus (DM) is a severe chronic disease that affects human health and has a high
prevalence worldwide. Research has shown that half of the diabetic people throughout the …

A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …

Background and objective Automatic segmentation and annotation of medical image plays a
critical role in scientific research and the medical care community. Automatic segmentation …

The field of medical image processing plays a significant role in brain tumor classification.
The survival rate of patients can be increased by diagnosing the tumor at an early stage …

Brain MR images are the most suitable method for detecting chronic nerve diseases such as
brain tumors, strokes, dementia, and multiple sclerosis. They are also used as the most …

Abstract The Brain Tumor presents a highly critical situation concerning the brain,
characterized by the uncontrolled growth of an abnormal cell cluster. Early brain tumor …

The process of diagnosing brain tumors is very complicated for many reasons, including the
brain's synaptic structure, size, and shape. Machine learning techniques are employed to …

In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …