A comparative study on various brain tumor classification methods

Today, Brain Tumor is one of the major important problem among various other existing life threatening diseases. People at any age, both adult and child are affected by this brain tumor. Brain tumor are classified into two types, primary and secondary. The Primary brain tumors can be either malignant which contain cancer cells or benign which do not contain cancer cells. A primary brain tumor is a tumor which begins in the brain. If a cancerous tumor which starts elsewhere in the body sends cells which end up growing in the brain, such tumors are then called secondary brain tumors. The early detection of brain tumor may lead the affected persons to diagnose it initially, and have a lengthy life. Such brain tumor detection is done mainly using MRI, CT scans and other types of tests. Then this brain tumors’ are diagnosed by the doctors on the results of that images. Here some times, in the detection of brain tumors when done manually with that scan images, there exists to a confusion in differentiating normal brain tissues and brain tumors, this may lead to wrong treatments and end in life and financial loss. Hence a brain tumor detection and classification can be done in an effective and efficient way. There are more methods such as SVM, KNN, FUZZY CONNECTEDNESS, ADA BOOST, GCLM are available for this type of brain tumor detection and classification. In this paper, the comparison study on the SVM & GCLM methods were illustrated in detail.