In recent years, the application of Artificial Intelligence has played a major role in several medical studies. Primarily Machine Learning techniques of Artificial Intelligence are very useful for identifying the brain tumors. Nowadays machine learning technique plays a major role in the medical field, but MRI usage is one of the challenging fields. Magnetic Resonance Imaging (MRI) is an effective solution to medical imaging that provides additional knowledge about human cells. In the diagnosis of the disease, medical imaging is beneficial. Most of the people suffering from brain tumor which is very serious and dangerous disease nowadays.MRI provides an adequate brain tumor diagnosis. Brain tumor is, in reality, the second biggest cause of cancer especially in children as well as in young adults. 64,530 new cases of human brain and tumor growth are reported each year, according to the United States Central Brain Tumor Registry (CBTRUS). Over the past few years, numerous brain tumor detection algorithms have been developed using Machine Learning. Several academic scholars study related to the different techniques of machine learning to achieve accurate results for brain tumor detection. We present various brain tumor analyses methods in this paper with Machine Learning techniques.
Volume 12 | Issue 2
Pages: 234-240
DOI: 10.5373/JARDCS/V12I2/S202010026