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Analysis Of Malignant Brain Cancer

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In Medical diagnosis, through Magnetic Resonance Images, Robustness and accuracy of the Prediction algorithms are very important, because the result is crucial for treatment of Patients. A brain tumor is a cluster of abnormal cells growing in the brain. It may occur in any person at almost any age. It may even change from one treatment session to the next but its effects may not be the same for each person. Brain tumors appear at any location, in different image intensities, can have a variety of shapes and sizes [3]. Brain tumors can be malignant or benign. Benign brain tumors have a homogeneous structure and do not contain cancer cells. They may be either monitored radio logically or surgically destroyed completely, and …show more content…

MR imaging is currently the method of choice for early detection of a brain tumor in the human brain. However, the interpretation of MRI is largely based on radiologist’s opinion.

2. LITERATURE SURVEY
Paper [1] presented Integrated Multiple Features for Tumor Image Retrieval Using Classifier and Feedback Methods. This paper presents an effective approach in which the region of the object is extracted with the help of multiple features ignoring the background of the object by employing edge following segmentation method followed by extracting texture and shape characteristics of the images. The former is extracted with the help of Steerable filter at different orientations and radial Chebyshev moments are used for extracting the later.

Initially [4] the images similar to the query image are extracted from a large group of medical images. Then the search is by accelerating the retrieval process with the help of Support Vector Machine (SVM) classifier. The performance of the retrieval system is enhanced by adapting the subjective feedback method of Support Vector Machine (SVM) classifier. The performance of the retrieval system is enhanced by adapting the subjective feedback method.

Brain tumor cells have high proteinaceous fluid which has very high density and hence very high intensity, therefore watershed segmentation is the best tool to

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