oa A Comparative Study on Various Machine Learning Techniques for Brain Tumor Detection Using MRI
- Authors: Samia Mushtaq1, Apash Roy2, Tawseef Ahmed Teli3
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View Affiliations Hide Affiliations1 School of Computer Applications, Lovely Professional University, Punjab, India 2 School of Computer Applications, Lovely Professional University, Punjab, India 3 Department of Computer Applications, Amar Singh College, J&K, India
- Source: Global Emerging Innovation Summit (GEIS-2021) , pp 125-137
- Publication Date: November 2021
- Language: English
A Comparative Study on Various Machine Learning Techniques for Brain Tumor Detection Using MRI, Page 1 of 1
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The brain is the central controlling system in the human body. If the structure of the brain changes due to the enlargement of the brain cells, it is diagnosed as a brain tumor, which can lead to fatality. The techniques such as medical imaging provide evidence of whether a patient has a brain tumor or not. This paper discusses various machine learning techniques for brain tumor detection using MRI and provides a performance analysis of such methods based on the state-of-the-art. A comparison of ANN and CNN-based models have also been given after implementing the techniques in Tensorflow to understand the potential benefits of using deep learning-based techniques.
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