Deep Neural Network-Based Classification and Detection of Brain Tumors from MRI Images
Keywords:
MRI, Tumor, CNN, SVM,KNN,VGG16 .Abstract
This work introduces a novel technique for detecting brain cancers using magnetic resonance(MR) imaging. Convolutional neural networks (CNNs) are fully utilized in the proposed framework, which employs VGG-16 approaches
References
M. R. Gupta, V. Rajagopalan, and B. V. V. S. N. P. Rao, “Glioma grade classification using wavelet transform-local binary pattern based
statistical texture features and geometric measures extracted from MRI,” Journal of Experimental Theoretical Artificial Intelligence, vol. 31,
no. 1, pp. 57–76, 2019.
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Published
2024-07-15
How to Cite
Shashikant Agrawal, Dr. (Mrs.) Supriya Tripathi. (2024). Deep Neural Network-Based Classification and Detection of Brain Tumors from MRI Images . Journal of Computational Analysis and Applications (JoCAAA), 33(07), 2975–2990. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4131
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