A Comparative Analysis of Brain Tumor Detection in MRI Using Data Mining Techniques |
Author(s): |
| R. Dhatchayini , CC; K. Mohamed Amanullah, Bishop Heber College |
Keywords: |
| Brain Tumor, Classification, Clustering, K-means, Fuzzy C-means, Magnetic Resonance Imaging (MRI) |
Abstract |
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The Survey paper is entitled as "Brain Tumor Detection". Data mining is a powerful method for mining useful patterns or data from image and textual data sets. Medical data mining is very important field as it has significant utility in healthcare domain in the real world. Clustering and classification are popular of the data mining methods used to understand the different features of the health data set. This paper is focused on understanding detection of brain Tumor using MRI images. Magnetic Resonance images (MRI) are analysed outwardly for recognition of brain tumor delivering less precision while identifying the stage and size of Tumor. The accuracy of the MRI of brain Tumor is improved in Classification and Clustering K-means algorithm, Fuzzy C-means Algorithm. |
Other Details |
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Paper ID: IJSRDV6I40947 Published in: Volume : 6, Issue : 4 Publication Date: 01/07/2018 Page(s): 1273-1274 |
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