Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

This manuscript proposes a self-attention based progressive generative adversarial network
optimized with momentum search optimization algorithm for brain tumor classification on …

Artificial intelligence-powered deep learning methods are being used to diagnose brain
tumors with high accuracy, owing to their ability to process large amounts of data. Magnetic …

Brain tumor classification is an expensive complicated challenge in the sector of clinical
image analysis. Machine learning algorithms enabled radiologists to accurately diagnose …

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 …

Multiclass classification of brain tumors is an important area of research in the field of
medical imaging. Since accuracy is crucial in the classification, a number of techniques are …

In the last decade, there has been a significant increase in medical cases involving brain
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …

Early classification of brain tumors from magnetic resonance imaging (MRI) plays an
important role in the diagnosis of such diseases. There are many diagnostic imaging …

Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …