DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-12,Issue-8 ( Aug, 2024 ) | |||||||||
Paper Title |
Evolving Methodologies in Brain MRI Classification: A Literature Survey of ML and DL Techniques | |||||||||
Author Name |
Prathmesh Joshi | |||||||||
Affilition |
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Pages |
24-32 | |||||||||
Abstract |
This research paper comprehensively reviews various techniques applied to classify brain MRI images, focusing on leveraging machine learning and deep learning methodologies. An extensive literature survey critically analyses diverse approaches such as traditional ML, DL, and CNN for their efficacy in brain MRI classification. The paper explores advancements in artificial intelligence techniques, shedding light on their strengths, limitations, and potential applications in neuroimaging. By synthesizing insights from different reviews, the abstract provides a nuanced understanding of the evolving landscape of brain MRI classification methodologies. Keywords - Brain MRI, Deep Learning, CNN, SVM, KNN, ML | |||||||||
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