An In Silico Approach for Brain Tumor Detection and Classification of Magnetic Resonance Images

Abstract

Background: Early detection of cancer can be done using machine learning approaches with high precision. The brain tumor is a very dangerous disease that may cause the death of cancerous patients. Every year, thousands of people die from that disease all over the world. Proper detection of cancerous cells in the body can save their lives. Methods: To segment the brain tumor region from brain MR images and classify tumorous and normal brain images into different-different classes is very crucial to cure death leading diseases like cancer. There are various techniques or methods for segmenting the tumorous part or area from the medical images. Magnetic resonance imaging is the most important technique to capture the images of the body parts because it has more information than any other imaging method, such as CT scan, etc. K-means clustering is used for segmentation of the tumor region, and SVM classifier is used for classification purposes. Results: The classification was done through the support vector machines in MATLAB 2019a. 350 images were classified with an accuracy of 89.7 %. Conclusion: In this paper, MRI images have been used for tumor detection and classification of those images in different-different classes with the help of MATLAB software. We calculated the accuracy of the classification using machine learning techniques. It is very efficient for early detection of cancer regions to cure the death leading diseases.

A deep learning approach for brain tumor detection using magnetic resonance imaging

“…Median filtering is a nonlinear approach used to retain sharp features in MRI images. In this work, an MRI image was preprocessed by converting the picture to greyscale and using a 33 median filter to eliminate noise, which enhanced image quality using (1).…”

“…A brain tumor is caused by abnormal cells in the brain's tissue. It is considered one of the world's deadliest diseases [1], [2] due to its escalating impact and fatality rate in all age categories. It is India's second-leading cause of cancer [3].…”