Many neurological diseases and delineating pathological regions have been analyzed, and
the anatomical structure of the brain researched with the aid of magnetic resonance imaging …

Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …

Brain tumors (BTs) are spreading very rapidly across the world. Every year, thousands of
people die due to deadly brain tumors. Therefore, accurate detection and classification are …

A brain tumor is an abnormal growth in brain cells that causes damage to various blood
vessels and nerves in the human body. An earlier and accurate diagnosis of the brain tumor …

Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the
world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require …

Brain tumor (BTs) is considered one of the deadly, destructive, and belligerent disease, that
shortens the average life span of patients. Patients with misdiagnosed and insufficient …

It is well known that the Unet has been widely used in the area of medical image
segmentation because of the cascade connection in the up-sampling process. However, it …

Alzheimer's disease (AD) is a progressive neurological problem that causes brain atrophy
and affects the memory and thinking skills of an individual. Accurate detection of AD has …

The deep learning method has shown its outstanding performance in object recognition and
becomes the first choice for medical image analysis. However, how to effectively propagate …

The brain is the most vital component of the neurological system. Therefore, brain tumor
classification is a very challenging task in the field of medical image analysis. There has …