Automated MRI Brain Tumor Classification and Cancer Detection Using Support Vector Machine

2018 ◽  
Vol 6 (11) ◽  
pp. 953-959
Author(s):  
M. A. Rahman
Keyword(s):  
Support Vector Machine ◽  
Brain Tumor ◽  
Cancer Detection ◽  
Tumor Classification ◽  
Support Vector ◽  
Mri Brain

scholarly journals Classification of Brain MRI Tumor Images Using Fuzzy C Means Clustering With Firefly Algorithms Optimized Support Vector Machine

2021 ◽  
Vol 23 (11) ◽  
pp. 70-77
Author(s):  
M.R. Thiyagupriyadharsan ◽  
◽  
Dr.S. Suja ◽  
Keyword(s):  
Health Care ◽  
Support Vector Machine ◽  
Brain Tumor ◽  
Health Care System ◽  
Support Vector ◽  
Human Beings ◽  
Fuzzy C Means ◽  
Mri Brain ◽  
Care System

In the contemporary world, many dangerous disease which are affecting human beings and new pandemic disease is also raising alarm to have an effective health care system. In this aspect the technology plays a major role in improving and optimizing the health care system. The diagnostic is done by taking blood test, urine test, and medical imaging like X-ray, CT scan, Ultrasound scan and MRI scan system. Among these, the paper focus will be emphasized on MRI imaging in identifying the brain tumor using image processing. In the proposed work the fuzzy C means(FCM) algorithm along with firefly algorithm optimized support vector machine (SVM) are used to classify the MRI brain tumor images. The results of these works are compared using the performance metrics such as accuracy, sensitivity, specificity and precision. The proposed method gives best results for the classification of MRI brain tumor images.

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