Stoitsis, J., Valavanis, I., Valavanis, S.G., Golemati, S., Nikita, A. and Nikita K.S. (2006) Computer aided diag- nosis based on medical image processing and artificial intelligence methods, Nuclear Instruments and Methods in Physics Research, 569, 591-595. - References

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Stoitsis, J., Valavanis, I., Valavanis, S.G., Golemati, S., Nikita, A. and Nikita K.S. (2006) Computer aided diag- nosis based on medical image processing and artificial intelligence methods, Nuclear Instruments and Methods in Physics Research, 569, 591-595.

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AUTHORS: Ali Reza Fallahi, Mohammad Pooyan, Hassan Khotanlou

KEYWORDS: CT Image; Feature Extraction; Classification; Morphological Operations; Automatic Diagnosis

JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.3 No.1, January 12, 2010

ABSTRACT: Automatic diagnosis may help to decrease human based diagnosis error and assist physicians to focus on the correct disease and its treatment and to avoid wasting time on diagnosis. In this paper computer aided diagnosis is applied to the brain CT image processing. We compared performance of morphological operations in extracting three types of features, i.e. gray scale, symmetry and texture. Some classifiers were applied to classify normal and abnormal brain CT images. It showed that morphological operations can improve the result of accuracy. Moreover SVM classifier showed better result than other classifiers.

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