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Threshold Segmentation and Watershed Segmentation Algorithm for Brain Tumor Detection using Support Vector Machine
2020
European Journal of Engineering Research and Science
Brain Tumor is a dangerous disease. The chance of the death is more in case of the brain tumor. The method of detection and classification of brain tumor is by human intervention with use of medical resonant brain images. MR Images may contain noise or blur caused by MRI operator performance which can lead to difficult in classification. We can apply effective segmentation techniques to partition the image and apply the classification technique. Support Vector machine is the best classification
doi:10.24018/ejers.2020.5.4.1902
fatcat:vsjhguw7mrcutbhycqdzuhonpu