Brain tumor classification is a very important and the most prominent step for assessing life‐
threatening abnormal tissues and providing an efficient treatment in patient recovery. To …

Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …

Deep Learning is a new machine learning field that gained a lot of interest over the past few
years. It was widely applied to several applications and proven to be a powerful machine …

Accurate and fully automatic brain tumor grading from volumetric 3D magnetic resonance
imaging (MRI) is an essential procedure in the field of medical imaging analysis for full …

A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection
of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a …

The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …

Malware poses a significant threat to computer systems and networks. This necessitates the
development of effective detection mechanisms. Detection mechanisms dependent on …

Diagnosing Brain Tumor with the aid of Magnetic Resonance Imaging (MRI) has gained
enormous prominence over the years primarily in the field of medical science. Detection …

Magnetic Resonance Imaging (MRI) is an important diagnostic technique for early detection
of brain Tumor and the classification of brain Tumor from MRI image is a challenging …

The process of separation of brain tumor from normal brain tissues is Brain tumor
segmentation. Segmentation of tumor from the MR images is a very challenging task as …