Brain Tumor Detection in MRI using Segmentation and Classification Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
The large data set demands a highly productive segmentation and classification system. This system shows brain tumor classification in the form of different classes. This system depends on segmentation scheme. The segmentation stage partitioning a digital image to number of regions and extracting useful regions. Tumor tissues are differentiated in segmentation. The segmentation processes composed with the help of level set region based methodology. The segmented part is get ahead to feature extraction stage. At the finally stage outcome as a classification of segmented tumor images with the help of extracted features. Classification done with the help of support vector machine classifier. Support vector machine recuperate the classification over different classification techniques. The classification sureness achieved by the actualized method is better as compare to another’s.
Authors and Affiliations
Ashish V. Gore, Prof. R. K. Kulkarni
Keywords
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