Detection and Grading of Astrocytoma tumor in MR Brain Images using Neural Network
نویسندگان
چکیده
The paper introduces an efficient method for detection and grading of Astrocytoma, a type of brain tumor in MR Brain Images. Gray Level Co-occurrence Matrix (GLCM) is applied to Image to get information like entropy, energy, contrast, correlation and ratio of brain tumor to the MR Image etc. These are used for creation of knowledge base. After training of ANN with input and target matrix, the ANN classifies type of brain tumor. These are classified as Grade I, II, III & IV Astrocytoma brain tumor as per WHO norms.
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