Brain tumor detection using GLCM features and classifiers

The brain is one of the important organs in human body. It controls functions such as vision, hail, memory, knowledge, personality, and difficulty at work. Numerous health associations have rated tumors an alternative major imbalance that causes highest number deaths worldwide. Diagnosis undiagnosed tumor provides opportunity for effective medical treatment. At diagnosis, a shows growth extra cells brain, some which can lead to cancer. usual system describing magnetic resonance imaging (MRI). Information about development abnormal obtained from MRI images. abnormalities are detected using computer-aided diagnostic systems. paper aims classify images GLCM feature extraction technique five classifiers. standard parameters like sensitivity, selectivity, accuracy used compare classifier performance. In this work, hybrid Expectation with principle component analysis best 97.66 % compared other