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BIOLOGICAL EARLY BRAIN CANCER DETECTION USING ARTIFICIAL NEURAL NETWORK

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Author(s): G Vijay Kumar | Dr GV Raju

Journal: International Journal on Computer Science and Engineering
ISSN 0975-3397

Volume: 2;
Issue: 8;
Start page: 2721;
Date: 2010;
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Keywords: Brain cancer | Neuro Fuzzy Logic | recognition | MRI.

ABSTRACT
Computer aided diagnosis systems for detecting malignant texture in biological study have been investigated using several techniques. This paper presents an approach in computer-aided diagnosis for earlyprediction of brain cancer using Texture features and neuro classification logic. The Tumor mass detection and Cluster microclassification is used as the processing method for cancer prediction. Nine distinct invariant features with calculation of minimum distance for the prediction of cancer are used for the prediction of tumor in a given MRI image. A neuro fuzzy approach is used for the recognition of the extracted region. The implementation is observed on various types of MRI images with different types of cancer regions.
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