Paper Title :Evolving Methodologies in Brain MRI Classification: A Literature Survey of ML and DL Techniques
Author :Prathmesh Joshi
Article Citation :Prathmesh Joshi ,
(2024 ) " Evolving Methodologies in Brain MRI Classification: A Literature Survey of ML and DL Techniques " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 24-32,
Volume-12,Issue-8
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
Type : Research paper
Published : Volume-12,Issue-8
Copyright: © Institute of Research and Journals
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Published on 2024-11-19 |
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