Abstract Background and Objective The brain cancer is one of the most aggressive tumour:
the 70% of the patients diagnosed with this malignant cancer will not survive. Early detection …

To improve the accuracy of tumor identification, it is necessary to develop a reliable
automated diagnostic method. In order to precisely categorize brain tumors, researchers …

Various computer systems have attracted more researchers' attention to arrive at a
qualitative diagnosis in a few times. Different brain tumor classification approaches are …

Computer-aided detection/diagnosis (CAD) systems can enhance the diagnostic capabilities
of physicians and reduce the time required for accurate diagnosis. The objective of this …

Early detection and diagnosis of brain tumors are crucial to taking adequate preventive
measures, as with most cancers. On the other hand, artificial intelligence (AI) has grown …

A brain tumor is one of the most perilous diseases in human beings. The manual
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …

Motivation Brain or central nervous system cancer is the tenth leading cause of death in men
and women. Even though brain tumour is not considered as the primary cause of mortality …

A very exigent task for radiologists is early brain tumor detection. Brain tumor raises very
fast, its average size doubles in just twenty-five days. If not treated properly, the survival rate …

This paper presents a novel method for Glioblastoma (GBM) feature extraction based on
Gaussian mixture model (GMM) features using MRI. We addressed the task of the new …

A tumor cell is a form of cell that develops out of control of the ordinary forces and
standardizes growth. Brain tumor is one of the major reasons for human death every year …