M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 5 Issue 8, August 2016
A Hierarchical Model to Classify Brain Cancer using GLCM
Vaishnavi. B | Uma. R
Abstract: The Cancer is the next stage or effect of tumorous cells. This research aims to detection of brain cancer using Matlab and Data Mining. This proposed research is classifying the cancer in MR images of the cancer affected patients. The major steps involved in the system are Preprocessing, Feature Extraction and Decision Tree Classification. The Image Processing techniques such as Median filtering have been developed for detection of noise in the MR images. In this research, extraction of features in the cancer image is achieved by using Gray Level Cooccurrence Matrix (GLCM). Then J48 classifier is used to classify MRI brain images into abnormal and healthy image. The proposed algorithm is very useful to gives more information about the cancer which is very helpful to the doctor for subjective analysis.
Keywords: Data mining, Decision Tree, Magnetic Resonance Imaging MRI, Gray Level Cooccurrence Matrix GLCM
Edition: Volume 5 Issue 8, August 2016,
Pages: 790 - 794
How to Cite this Article?
Vaishnavi. B, Uma. R, "A Hierarchical Model to Classify Brain Cancer using GLCM", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=5081602, Volume 5 Issue 8, August 2016, 790 - 794, #ijsrnet
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