Performance Analysis of Machine Learning Classifiers for Brain Tumor MR Images
Journal Title: Sir Syed University Reseacrh Journal of Engineering and Technology - Year 2018, Vol 8, Issue
Abstract
Brain cancer has remained one of the key causes of deaths in people of all ages. One way to survival amongst patients is to correctly diagnose cancer in its early stages. Recently machine learning has become a very important tool in medical image classification. Our approach is to examine and compare various machine learning classification algorithms that help in brain tumor classification of Magnetic Resonance (MR) images. We have compared Artificial Neural Network (ANN), K-nearest Neighbor (KNN), Decision Tree (DT), Support Vector Machine (SVM) and Naïve Bayes (NB) classifiers to determine the accuracy of each classifier and find the best amongst them for classification of cancerous and noncancerous brain MR images. We have used 86 MR images and extracted a large number of features for each image. Since the equal number of images, have been used thus there is no suspicion of results being biased. For our data set the most accurate results were provided by ANN. It was found that ANN provides better results for medium to large database of Brain MR Images.
Authors and Affiliations
Lubna Farhi, Razia Zia, Zain Anwar Ali
Keywords
Related Articles
- EP ID EP432889
- DOI -
- Views 156
- Downloads 0
Loss Analysis in Optical Fiber Transmission
Most of telecommunication traffic (voice and data) around the globe is carried over the optical fiber cable. The international traffic through various countries is carried over optical fiber cables laid under the sea. Si...
Audible Tool for Color Identification Using Arduino UNO
This hardware tool is designed for assistance and training for visually impaired people to identify the surrounding colored objects. Several researches are conducted all over the world to design advanced, reliable tool a...
Wireless Security Threats
Wireless Communication Technologies has completely revolutionized the world. Wireless Communication Technologies provide ease to the users such as portability of the devices and mobile access to the internet. These porta...
Labview Based Automated External Defibrillator
In today's era when precise, accurate and time efficient systems are in great demand, automated techniques supersede manual practices. As a need of time, we introduce a wireless, automated, cost effective, yet reliable a...
Identification of Factors Affecting Construction Productivity in Pakistan Industry
Construction productivity is significant requirement which is point of focus for every construction manager. The main purpose of this study is to understand and highlight the factors which affect the labor productivity i...