Early Uncovering of Brain Tumour using Hybrid Machine Learning Techniques

Authors

  • Ms. Vimmi Malhotra,Ms. Preeti Kumari Singh

Keywords:

Artificial Intelligence, Brain Tumour, Deep Learning, Machine Learning, MRI. Journal of Computational Analysis and Applications

Abstract

The human brain is an advanced structure that includes the brain, spinal fluid, and cerebrospinal fluid. It is responsible for hormone production, regulating control, and emotion control.The skull, meninges, and covering skin protect the brain, while the cerebrum controlslearning, thinking, reading, speech, and emotions

References

A.U. Haq et al., "MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system", Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 5, pp. 4695-4706, 2023.

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Published

2024-02-15

How to Cite

Ms. Vimmi Malhotra,Ms. Preeti Kumari Singh. (2024). Early Uncovering of Brain Tumour using Hybrid Machine Learning Techniques . Journal of Computational Analysis and Applications (JoCAAA), 32(2), 441–451. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2978

Issue

Vol. 32 No. 2 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.