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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

Segmentation and Classification of Brain Tumor using Watershed, SVM and CNN Algorithms

Gourangni Bhola, Anurag Kale, Vaishnavi Salunke, Sumira Srivastava, K.P.Birla

DOI: 10.17148/IJARCCE.2022.115101

Abstract: The human brain is the primary controller of the humanoid system. A brain tumour is caused by abnormal cell growth and division in the brain, and so brain tumours can lead to brain cancer. Computer vision plays an important role in human health by reducing the accuracy of human judgement. CT scans, X-rays, and MRI scans are all common imaging modalities. Magnetic resonance imaging is the most reliable and secure method (MRI). MRI is used to detect every minute thing. The application of various methodologies is examined in our research. During this experiment, we used the Gaussian filter(GF) to remove noise from brain MRI for the identification of brain cancer. Index Terms: BraTS,Classification, medical imaging, Segmen- tation, SVM, tumor detection,watershed.

How to Cite:

[1] Gourangni Bhola, Anurag Kale, Vaishnavi Salunke, Sumira Srivastava, K.P.Birla, “Segmentation and Classification of Brain Tumor using Watershed, SVM and CNN Algorithms,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.115101