An Effective Diagnosis System for Brain Tumor Detection and Classification

A brain tumor is an excessive development of abnormal and uncontrolled cells in the brain. This growth considered deadly since it may cause death. The controls numerous functions, such as memory, vision, emotions. Due to location, size, shape these tumors, their detection a challenging complex task. Several efforts have been conducted toward improved yielded promising results outcomes. However, accuracy should be higher than what has reached. paper presents method detect tumors with high accuracy. works using image segmentation technique classifier MATLAB. utilized Support Vector Machine (SVM). Discrete Wavelet Transform (DWT) Principal Component Analysis (PCA) are also involved. dataset from Kaggle website used test developed approach. obtained reached nearly 99.2% provides confusion matrix applying proposed approach testing images comparative evaluation between some literature. shows that presented system outperforms other approaches regarding accuracy, precision, recall. research discovered extremely useful detecting given recall results. directs us believe bringing this kind technology physicians diagnosing crucial.