A brain tumor is a disorder caused by the growth of abnormal brain cells. The survival rate of
a patient affected with a tumor is difficult to determine because they are infrequent and …

Simple Summary In this research, we addressed the challenging task of brain tumor
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …

The development of unusual cells in the cerebrum causes brain cancer. It is classified
primarily into two classes: a noncarcinogenic (benign) type of growth and cancerous …

The growth of irregular brain cells leads to a disease called brain tumor (BT). It is difficult to
predict a patient's chance of survival due to the low rate and wide range of tumor shapes …

Brain tumor is a severe condition that occurs due to the expansion of unnatural brain cells.
Because tumors are rare and can take many different forms, it is challenging to estimate the …

In medical field, radiographic images are playing a vital role in detecting various diseases
and injuries. Artificial Intelligence and machine learning techniques are very helpful to …

This article presents Multi-modal MRI scans used to classify brain tumors according to their
size and imaging appearance. Object detection has been significantly improved by utilizing …

Cancer is an ailment that affects people from all walks of life. It is not age-specific, nor is it
gender or race-specific. Affecting the cell cycle of various body parts like the brain, breast …

A neurological type of brain disease called multiple sclerosis (MS) impairs how well the
nervous system is able to function efficiently and causes people to experience visual …

Main objective of this framework is to build a efficient deep learning model to detect the brain
tumor. In this paper, the framework mainly focuses on the detection of brain tumor MRI …