Semantic-based segmentation (Semseg) methods play an essential part in medical imaging
analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is …

Recent years have witnessed a significant advancement in brain imaging techniques that
offer a non-invasive approach to mapping the structure and function of the brain …

A brain tumor is a distorted tissue wherein cells replicate rapidly and indefinitely, with no
control over tumor growth. Deep learning has been argued to have the potential to …

Alzheimer's disease (AD) is a type of neurological disorder and is a most frequent cause of
dementia across the world. The area of medical imaging has created an advancement in …

When abnormal cells develop within the brain, a tumor is formed. Early tumor detection
improves the likelihood of a patient's recovery. Compared to CT scan pictures, magnetic …

Using transfer learning, we can reuse the previously trained model. Transfer learning
involves utilizing knowledge added from an earlier activity. It is most widely used in the three …

Brain tumors are defined by the unchecked proliferation of cells, resulting in the formation of
atypical tissues. Segmentation is utilized to separate tumor regions in the brain, and deep …

The brain is responsible for controlling various bodily functions, including the mind, reality,
hail, knowledge, personality, and case working. Brain excrescence is a serious condition …

A brain tumor is a distorted tissue wherein cells replicate rapidly and indefinitely, with no
control over tumor growth. Deep learning has been argued to have the potential to …