Hybrid Image Classification Technique to Detect Abnormal Parts in MRI Images

Author:

Lakshmi Devasena C.,Hemalatha M.

Publisher

Springer Berlin Heidelberg

Reference21 articles.

1. Jude Hemanth, D., Kezi Selva Vijila, C., Anitha, J.: A Survey on Artificial Intelligence Based Brain Pathology Identification Techniques in Magnetic Resonance Images. International Journal of Reviews in Computing, 30–45 (2009)

2. Theodoridis, S., Koutroumbas, K.: Pattern Recognition. Academic Press, San Diego (1999)

3. Polat, K., Akdemir, B., Gnes, S.: Computer aided diagnosis of ECG data on the least square support vector machine. Digital Signal Processing 18, 25–32 (2008)

4. Selvaraj, H., Thamarai Selvi, S., Selvathi, D., Gewali, L.: Brain MRI Slices Classification Using Least Squares Support Vector Machine. ICMED 1(1), 21–33 (2007)

5. El-Dahshan, E.-S.A., Salem, A.-B.M., Younis, T.H.: A Hybrid Technique For Automatic MRI Brain Images Classification. Studia Univ. Babes-bolyai, Informatica LIV(1), 55–67 (2009)

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