Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 11, Issue 3


Published
on


Pages

2254-2258


DOI

Article

MRI IMAGE For Tumor Diagnostics Using Machine Learning


Authors

C. Krishna Kumar Affiliation:
Dhanalakshmi Srinivasan College of Engineering and Technology
, R. Srinivasan Affiliation:
Dhanalakshmi Srinivasan College of Engineering and Technology
and Hema Soundari K Affiliation:
Dhanalakshmi Srinivasan College of Engineering and Technology


Abstract

A brain tumor is a mass or growth of abnormal cells in our brain. Many different types of brain tumors exist. Some brain tumors are noncancerous (benign), and some brain tumors are cancerous (malignant). Brain tumors can begin in your brain (primary brain tumors), or cancer can begin in other parts of your body and spread to your brain (secondary, or metastatic, brain tumors. Brain tumor treatment options depend on the type of brain tumor you have, as well as its size and location. The classification of brain tumors is performed by biopsy, which is not usually conducted before definitive brain surgery. The improvement of technology and machine learning can help radiologists in tumor diagnostics without invasive measures. A machine-learning algorithm that has achieved substantial results in image classification is the convolutional neural network (CNN). It is predicted that the success of the obtained results will increase if the CNN method is supported by adding extra feature extraction methods and classify successfully brain tumor normal and abnormal image.


Keywords

CNN, Gliomas, Brain Tumor


Citation

Kumar, C. K., Srinivasan, R., & K, H. S. (2020). MRI IMAGE for tumor diagnostics using machine learning. Turkish Journal of Computer and Mathematics Education, 11(3), 2254–2258.

Published by: Engineering Journals

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