Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …

Background and Objectives: Clinical diagnosis has become very significant in today's health
system. The most serious disease and the leading cause of mortality globally is brain cancer …

Brain tumor semantic segmentation is a critical medical image processing work, which aids
clinicians in diagnosing patients and determining the extent of lesions. Convolutional neural …

After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …

Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …

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 tumors are most common in children and the elderly. It is a serious form of cancer
caused by uncontrollable brain cell growth inside the skull. Tumor cells are notoriously …

According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …

Alzheimer's disease (AD) is a neurodegenerative disease that affects brain cells, and mild
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …

A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection
of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a …