A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting
pressure on the healthy parts of the brain, it can lead to significant health problems …

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 …

The brain tumor is one of the deadliest cancerous diseases and its severity has turned it to
the leading cause of cancer related mortality. The treatment procedure of the brain tumor …

The study of neuroimaging is a very important tool in the diagnosis of central nervous system
tumors. This paper presents the evaluation of seven deep convolutional neural network …

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 …

Gastric cancer is a common and deadly cancer in the world. The gold standard for the
detection of gastric cancer is the histological examination by pathologists, where Gastric …

The major intention of this work is to detect the Brain tumor with accuracy by reducing error
rate and computational complexity. Therefore, in this manuscript, a Deep Convolutional …

Brain tumors must be classified to determine their severity and appropriate therapy. Applying
Artificial Intelligence to medical imaging has enabled remarkable developments. The …

The biopsy is a gold standard method for tumor grading. However, due to its invasive nature,
it has sometimes proved fatal for brain tumor patients. As a result, a non-invasive computer …

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