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Automated Brain Tumor Segmentation by aziz is a document available to read on EtoBox.

This research presents a novel automated approach for brain tumor segmentation and classification in MRI images using Fuzzy C-Means (FCM) and Support Vector Machine (SVM) techniques. The proposed method enhances MRI image quality through preprocessing and achieves high performance metrics, including sensitivity of 0.977, specificity of 0.979, and accuracy of 0.982, with a processing time of just 0.42 seconds. This advancement positions the method as a significant improvement over existing techniques in the

Author

aziz

Language

EN