Brain MR Image Classification Using Least Squares Support Vector Machine
نویسنده
چکیده
This research paper proposes an intelligent classification technique to identify tumor. The manual interpretation of tumor based on visual examination by Radiologist/physician may lead to missing diagnosis when a large number of data are analyzed. To avoid the human error, an automated intelligent classification system is proposed which caters the need for classification of medical image after identifying the volume normal and abnormal images for tumor identification. In this research work, advanced classification techniques based on Least Squares Support Vector Machines (LS-SVM) are proposed and applied to medical image classification using features derived from images.
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