BibTeX:

@article{IJIRSTV3I1101,
     title={Detection of Brain Tumor its Segmentation & Classification using PNN Classifier},
     author={Shridevi Bagewadi, Prof. Jayalaxmi S Gonal and Prof. Vinay K Kolur},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={161--165},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1101.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abnormal growth of tissue in the brain which results in tumor in the brain called brain tumor which causes death of human being. Hence the early detection of tumor is necessary to survive a human being. An automatic pc oriented diagnosing method has designed in order to enhance accuracy of detection and classification of tumor in a brain. Here we are using PNN classifier along with mean shift clustering method for detection and classification of different stages of brain tumor such as Normal, Benign stage and malignant stage. PNN (Probabilistic Neural Network) is a learning machine is basically used with an extension of various image classifications based on Training and Testing networks. Probabilistic Neural Network results in accurate & fast classifying tool for detection and classification of tumor.

MR Images, Bounding Box, Mean Shift Clustering, PNN