• BISWATOSH PURKAYASTHA
• JAYASHREE M KUDARI
• RAVLEEN SAWHNEY
• PRANAV NAWALKHA, SUFIYA NAAZ
• AYUSH SINGH, SUCHITHRA S

A brain tumor is considered as an uncontrolled growth of cells within the brain, resulting in a fatal condition that affects a large number of persons in their youth and adolescence. It is caused by unregulated and abnormal development within the brain or skull. Early discovery of a brain tumor at an early stage and the correct type of cancer would aid in determining accurate treatments, further study, and increasing patient survival rates. Manually analyzing a magnetic resonance image (MRI) is insufficient for a quick and accurate identification of a brain tumor. Current brain imaging philosophies have increased the percentage of brain cancers discovered. A lot of research has been done in the last couple of years to achieve 100% accuracy in computer-assisted analysis of human brain cancer. The focus of this investigation is on early detection of brain tumors by studying the various methodologies and proposed systems used by other researchers in the past and finding out which proposed system outperforms the rest and how

Segmentation, Brain Imaging, Feature Selection, Machine Learning, Magnetic Resonance Imaging, Gene Algorithm

"A SURVEY ON EARLY DETECTION AND DIAGNOSIS OF BRAIN TUMOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.415-423, June-2022, Available :http://www.jetir.org/papers/JETIRFM06074.pdf

"A SURVEY ON EARLY DETECTION AND DIAGNOSIS OF BRAIN TUMOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp415-423, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06074.pdf