Abstract

Tumors medically also called neoplasms are an abnormal mass of tissue resulting from uncontrolled proliferation or division of cells occurring in the human body. If such growth is located in the brain then it is called as brain tumor. Identification of such tumors is a major challenge in the field of medical science. Early identification of tumors prove to be critical as serious consequences can be averted. Its threat level depends on a combination of various factors like the type of tumor, its location, its size and its developmental stage. Tumor can occur in any part of the body. Magnetic Resonance Imaging (MRI) technique is mainly used for analyzing the brain, as the images produced are of high precision and applicability. The main objective of this study is to classify the brain MRI dataset for the existence or non existence of tumors. The proposed method uses Two Dimensional Discrete Wavelet Transform (2D-DWT) for pre-processing and further classification with orthogonal operators and SVM. The usage of 2D-DWT for pre-processing improves the classification accuracy by 2% when compared to the existing classification techniques.

Highlights

  • This technology has greatly improved the sensitivity and specificity of diagnostic imaging

  • Magnetic Resonance Imaging (MRI) technique is mainly used for analyzing the brain, as the images produced are of high precision and applicability

  • The evaluation metrics used as TP, FALSE NEGATIVE (FN), TRUE NEGATIVE (TN) and FALSE POSITIVE (FP) for evaluating the percentage of accuracy in identifying the tumor in the given image

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Summary

Introduction

This technology has greatly improved the sensitivity and specificity of diagnostic imaging. Many methods have been proposed for segmentation of tumor in brain MRI. Brain tumor is one of the major causes for the increase in networks (Sammouda et al, 1996) and some of them use mortality among children and adults (Jaya et al, 2009). Detection and proper treatment based on accurate diagnosis are important steps to improve the survival rate among humans. For detection of brain tumor, MRI has become one of the most common tool. MRI is a non invasive medical imaging technology that has proven to be an effective tool in the study of the human

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