{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T20:58:51Z","timestamp":1774385931954,"version":"3.50.1"},"reference-count":28,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,4,1]]},"abstract":"<p>A new approach for automated diagnosis and classification of Magnetic Resonance (MR) human brain images is proposed. The proposed method uses Wavelets Transform (WT) as input module to Genetic Algorithm (GA) and Support Vector Machine (SVM). It segregates MR brain images into normal and abnormal. This contribution employs genetic algorithm for feature selection which requires much lighter computational burden in comparison with Sequential Floating Backward Selection (SFBS) and Sequential Floating Forward Selection (SFFS) methods. A percentage reduction rate of 88.63% is achieved. An excellent classification rate of 100% could be achieved using the support vector machine. The observed results are significantly better than the results reported in a previous research work employing Wavelet Transform and Support Vector Machine.<\/p>","DOI":"10.4018\/jssci.2011040102","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T16:49:13Z","timestamp":1319042953000},"page":"19-33","source":"Crossref","is-referenced-by-count":13,"title":["Medical Image Classification Using an Optimal Feature Extraction Algorithm and a Supervised Classifier Technique"],"prefix":"10.4018","volume":"3","author":[{"given":"Ahmed","family":"Kharrat","sequence":"first","affiliation":[{"name":"University of Sfax, Tunisia"}]},{"given":"Karim","family":"Gasmi","sequence":"additional","affiliation":[{"name":"University of Sfax, Tunisia"}]},{"given":"Mohamed","family":"Ben Messaoud","sequence":"additional","affiliation":[{"name":"University of Sfax, Tunisia"}]},{"given":"Nac\u00e9ra","family":"Benamrane","sequence":"additional","affiliation":[{"name":"USTO Oran, Algeria"}]},{"given":"Mohamed","family":"Abid","sequence":"additional","affiliation":[{"name":"University of Sfax, Tunisia"}]}],"member":"2432","reference":[{"key":"jssci.2011040102-0","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2005.845241"},{"key":"jssci.2011040102-1","author":"R. N.Bracewell","year":"1999","journal-title":"The Fourier transform and its applications"},{"key":"jssci.2011040102-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2006.05.002"},{"key":"jssci.2011040102-3","unstructured":"Dhawale, C. A., & Sanjeev, J. (2007). Comparison of statistical methods for texture analysis. In Proceedings of the International Conference Advances in Computer Vision and Information Technology (pp. 686-698)."},{"issue":"1","key":"jssci.2011040102-4","first-page":"55","article-title":"A hybrid technique for automatic MRI brain images classification.","volume":"54","author":"E. A.El-Dahshan","year":"2009","journal-title":"Informatica"},{"key":"jssci.2011040102-5","doi-asserted-by":"crossref","unstructured":"Fan, Y., Shen, D., & Davatzikos, C. (2005). Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM. In J. S. Duncan & G. Gerig (Eds.), Proceedings of the 8th International Conference on Medical Image Computing and Computer Assisted Intervention (LNCS 3749, pp. 1-8).","DOI":"10.1007\/11566465_1"},{"key":"jssci.2011040102-6","unstructured":"Guermeur, Y. (2007). SVM multiclass: Th\u00e9orie et applications. Retrieved from http:\/\/www.loria.fr\/~guermeur\/HDR_YG.pdf"},{"key":"jssci.2011040102-7","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"jssci.2011040102-8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2005.09.024"},{"issue":"5","key":"jssci.2011040102-9","first-page":"223","article-title":"Texture analysis of bone CT images for classification and characterization of bone quality.","volume":"4","author":"R. T.Kalpalatha","year":"2009","journal-title":"International Journal of Soft Computing"},{"key":"jssci.2011040102-10","author":"A. J.Keith","year":"1999","journal-title":"The whole brain atlas"},{"key":"jssci.2011040102-11","doi-asserted-by":"crossref","unstructured":"Kharrat, A., BenMessaoud, M., Benamrane, N., & Abid, M. (2009). Detection of brain tumor in medical images. In Proceedings of the 3rd IEEE International Conference on Signals, Circuits & Systems, Tunisia (pp. 1-6).","DOI":"10.1109\/ICSCS.2009.5412577"},{"key":"jssci.2011040102-12","doi-asserted-by":"crossref","unstructured":"Kharrat, A., BenMessaoud, M., Benamrane, N., & Abid, M. (2010). Genetic algorithm for feature selection of MR brain images using wavelet co-occurrence. In Proceedings of the IEEE International Conference on Signals and Information Processing, Changsha, China (pp. 606-610).","DOI":"10.1117\/12.913381"},{"key":"jssci.2011040102-13","doi-asserted-by":"crossref","unstructured":"Kittler, J. (1978). Feature set search algorithms. Pattern Recognition and Signal Processing, 41-60.","DOI":"10.1007\/978-94-009-9941-1_3"},{"key":"jssci.2011040102-14","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"jssci.2011040102-15","doi-asserted-by":"publisher","DOI":"10.1007\/s00234-008-0463-x"},{"key":"jssci.2011040102-16","doi-asserted-by":"publisher","DOI":"10.1109\/34.192463"},{"key":"jssci.2011040102-17","unstructured":"Michael, J. C. (1994). The effect of variation in illuminant direction on texture classification. Unpublished doctoral dissertation Heriot-Watt University. Edinburgh, Scotland."},{"issue":"9","key":"jssci.2011040102-18","first-page":"1629","article-title":"Whole-brain functional MR imaging activation from finger tapping task examined with independent component analysis.","volume":"21","author":"C. H.Moritz","year":"2000","journal-title":"AJNR. American Journal of Neuroradiology"},{"key":"jssci.2011040102-19","doi-asserted-by":"publisher","DOI":"10.1109\/TC.1977.1674939"},{"key":"jssci.2011040102-20","doi-asserted-by":"publisher","DOI":"10.4103\/0971-6203.58777"},{"key":"jssci.2011040102-21","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(94)90127-9"},{"key":"jssci.2011040102-22","author":"B.Scholkopf","year":"1999","journal-title":"Advances in kernel methods: Support vector learning"},{"key":"jssci.2011040102-23","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","author":"B.Scholkopf","year":"2001","journal-title":"Learning with kernels support vector machines, regularization, optimization and beyond"},{"key":"jssci.2011040102-24","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(89)90037-8"},{"key":"jssci.2011040102-25","doi-asserted-by":"publisher","DOI":"10.4018\/jssci.2009070101"},{"key":"jssci.2011040102-26","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(93)90054-Z"},{"key":"jssci.2011040102-27","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22147"}],"container-title":["International Journal of Software Science and Computational Intelligence"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=55126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T02:50:48Z","timestamp":1741834248000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/jssci.2011040102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2011,4,1]]},"references-count":28,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2011,4]]}},"URL":"https:\/\/doi.org\/10.4018\/jssci.2011040102","relation":{},"ISSN":["1942-9045","1942-9037"],"issn-type":[{"value":"1942-9045","type":"print"},{"value":"1942-9037","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,4,1]]}}}