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 …

Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

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

During the last decade, computer vision and machine learning have revolutionized the world
in every way possible. Deep Learning is a sub field of machine learning that has shown …

Manual identification of brain tumors is an error-prone and tedious process for radiologists;
therefore, it is crucial to adopt an automated system. The binary classification process, such …

Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …

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 …

Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …

In this manuscript, an efficient framework is proposed for brain tumour classification (BTC)
based on hierarchical deep-learning neural network (HieDNN) classifier. Here, the input …