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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3397
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dc.contributor.authorBhola, Gourangni-
dc.contributor.authorKale, Anurag-
dc.contributor.authorSalunke, Vaishnavi-
dc.contributor.authorSrivastava, Sumira-
dc.contributor.authorBirla, K.P.-
dc.date.accessioned2022-08-08T05:13:18Z-
dc.date.available2022-08-08T05:13:18Z-
dc.date.issued2022-05-05-
dc.identifier.urihttp://192.168.3.232:8080/jspui/handle/123456789/3397-
dc.description.abstractThe 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 ourresearch. During this experiment, we used the Gaussian filter(GF)to remove noise from brain MRI for the identification of brain canceren_US
dc.subjectBraTSen_US
dc.subjectSVMen_US
dc.subjectClassificationen_US
dc.subjectmedical imagingen_US
dc.subjectSegmen-tationen_US
dc.subjecttumor detectionen_US
dc.subjectwatersheden_US
dc.titleSegmentation and Classification of Brain Tumor using Watershed, SVM and CNN Algorithmsen_US
dc.typeArticleen_US
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