A Research based on Machine Learning Techniques for Brain Tumor and Stroke Detection from MRI Images
Keywords:
Brain Tumor, Stroke, MRI, Machine Learning, Deep Learning, Image Segmentation, Feature Extraction.Abstract
Magnetic Resonance Imaging (MRI) is a widely accepted method for providing anatomicalinformation, with research focusing on extending it to provide biological functioninformation. Brain abnormalities, such as neurodegenerative disorders, psychiatric disorders,
and aging, are often associated
References
Ahirwar, A 2013, ‘Study of techniques used for medical image segmentation and computation of statistical test for region classification of brain MRI’, IJ Information Technology and Computer science, pp. 44-53.
Al-faris, AQ, Ngah, UK, Isa, NAM & Shuaib, II 2014, ‘Breast mri tumour segmentation using modified automatic seeded region growing based on particle swarm optimization image clustering’, Soft Computing in Industrial Applications. Springer.
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Published
2024-08-15
How to Cite
Rupak Kumar,Dr. Rashi Agarwal,Dr. Renu Jain. (2024). A Research based on Machine Learning Techniques for Brain Tumor and Stroke Detection from MRI Images. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6481–6500. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3802
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