{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T13:48:58Z","timestamp":1762955338615},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319125671"},{"type":"electronic","value":"9783319125688"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-662-44654-6_20","type":"book-chapter","created":{"date-parts":[[2014,9,14]],"date-time":"2014-09-14T21:13:21Z","timestamp":1410729201000},"page":"203-213","source":"Crossref","is-referenced-by-count":4,"title":["Classification of Mammograms Using Cartesian Genetic Programming Evolved Artificial Neural Networks"],"prefix":"10.1007","author":[{"given":"Arbab Masood","family":"Ahmad","sequence":"first","affiliation":[]},{"given":"Gul","family":"Muhammad Khan","sequence":"additional","affiliation":[]},{"given":"Sahibzada Ali","family":"Mahmud","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Zhang, X., Fujita, H., Chen, J., Zhang, Z.: Effect of training artificial neural networks on 2d image: An example study on mammography. In: International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009, vol.\u00a04, pp. 214\u2013218. IEEE (2009)","DOI":"10.1109\/AICI.2009.475"},{"issue":"12","key":"20_CR2","doi-asserted-by":"publisher","first-page":"2577","DOI":"10.1088\/0031-9155\/42\/12\/021","volume":"42","author":"N. Ibrahim","year":"1997","unstructured":"Ibrahim, N., Fujita, H., Hara, T., Endo, T.: Automated detection of clustered microcalcifications on mammograms: Cad system application to mias database. Physics in Medicine and Biology\u00a042(12), 2577 (1997)","journal-title":"Physics in Medicine and Biology"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"El-Naqa, I., Yang, Y., Wernick, M.N., Galatsanos, N.P., Nishikawa, R.: Support vector machine learning for detection of microcalcifications in mammograms. In: Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, pp. 201\u2013204. IEEE (2002)","DOI":"10.1109\/ISBI.2002.1029228"},{"key":"20_CR4","unstructured":"Hern\u00e1ndez-Cisneros, R.R., Terashima-Mar\u0131n, H.: Feature selection for the classification of both individual and clustered microcalcifications in digital mammograms using genetic algorithms. In: A Recombination of the 15th International Conference Genetic Algorithms (ICGA) and the 11th Genetic Programming Conference (GP), Seattle, WA, USA (2006)"},{"issue":"4","key":"20_CR5","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/s10710-009-9093-2","volume":"10","author":"J.A. Walker","year":"2009","unstructured":"Walker, J.A., V\u00f6lk, K., Smith, S.L., Miller, J.F.: Parallel evolution using multi-chromosome cartesian genetic programming. Genetic Programming and Evolvable Machines\u00a010(4), 417\u2013445 (2009)","journal-title":"Genetic Programming and Evolvable Machines"},{"issue":"7","key":"20_CR6","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1016\/j.patrec.2004.09.053","volume":"26","author":"P. Zhang","year":"2005","unstructured":"Zhang, P., Verma, B., Kumar, K.: Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection. Pattern Recognition Letters\u00a026(7), 909\u2013919 (2005)","journal-title":"Pattern Recognition Letters"},{"key":"20_CR7","unstructured":"Vasantha, M., Subbiah Bharathi, V.: Classifications of mammogram images using hybrid features. European Journal of Scientific Research, 87\u201396 ISSN"},{"key":"20_CR8","first-page":"317","volume":"3","author":"G.A. Khuwaja","year":"2004","unstructured":"Khuwaja, G.A.: Breast cancer detection using mammography. WSEAS Transactions on Mathematics\u00a03, 317\u2013321 (2004)","journal-title":"WSEAS Transactions on Mathematics"},{"key":"20_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1007\/978-3-540-44871-6_56","volume-title":"Pattern Recognition and Image Analysis","author":"J. Mart\u00ed","year":"2003","unstructured":"Mart\u00ed, J., Freixenet, J., Munoz, X., Oliver, A.: Active region segmentation of mammographic masses based on texture, contour and shape features. In: Perales, F.J., Campilho, A.C., P\u00e9rez, N., Sanfeliu, A. (eds.) IbPRIA 2003. LNCS, vol.\u00a02652, pp. 478\u2013485. Springer, Heidelberg (2003)"},{"key":"20_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1007\/978-3-540-39903-2_89","volume-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003","author":"B.-W. Hong","year":"2003","unstructured":"Hong, B.-W., Brady, J.M.: A topographic representation for mammogram segmentation. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol.\u00a02879, pp. 730\u2013737. Springer, Heidelberg (2003)"},{"issue":"1","key":"20_CR11","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TITB.2009.2033269","volume":"14","author":"B.-W. Hong","year":"2010","unstructured":"Hong, B.-W., Sohn, B.-S.: Segmentation of regions of interest in mammograms in a topographic approach. IEEE Transactions on Information Technology in Biomedicine\u00a014(1), 129\u2013139 (2010)","journal-title":"IEEE Transactions on Information Technology in Biomedicine"},{"key":"20_CR12","unstructured":"Saidin, N., Sakim, H.A.M., Ngah, U.K., Shuaib, I.L.: Segmentation of breast regions in mammogram based on density: A review. arXiv preprint arXiv:1209.5494 (2012)"},{"issue":"3","key":"20_CR13","doi-asserted-by":"publisher","first-page":"176","DOI":"10.5121\/ijcsit.2011.3312","volume":"3","author":"A.A. Mutaz","year":"2011","unstructured":"Mutaz, A.A., Dress, S., Zaki, N.: Detection of masses in digital mammogram using second order statistics and artificial neural network. International Journal of Computer Science & Information Technology (IJCSIT)\u00a03(3), 176\u2013186 (2011)","journal-title":"International Journal of Computer Science & Information Technology (IJCSIT)"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Tomuro, N., Furst, J., Raicu, D.S.: Image enhancement and edge-based mass segmentation in mammogram. In: Proc. SPIE, vol.\u00a07623, pp. 76234P\u20138 (2010)","DOI":"10.1117\/12.844492"},{"issue":"10","key":"20_CR15","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1016\/j.compbiomed.2007.01.009","volume":"37","author":"P. Delogu","year":"2007","unstructured":"Delogu, P., Fantacci, M.E., Kasae, P., Retico, A.: Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier. Computers in Biology and Medicine\u00a037(10), 1479\u20131491 (2007)","journal-title":"Computers in Biology and Medicine"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Tahmasbi, A., Saki, F., Shokouhi, S.B.: Mass diagnosis in mammography images using novel ftrd features. In: 2010 17th Iranian Conference on Biomedical Engineering (ICBME), pp. 1\u20135. IEEE (2010)","DOI":"10.1109\/ICBME.2010.5704939"},{"issue":"4","key":"20_CR17","first-page":"1","volume":"5","author":"B.K. Elfarra","year":"2012","unstructured":"Elfarra, B.K., Abuhaiba, I.S.: Mammogram computer aided diagnosis. International Journal of Signal Processing, Image Processing and Pattern\u00a05(4), 1\u201330 (2012)","journal-title":"International Journal of Signal Processing, Image Processing and Pattern"},{"issue":"8","key":"20_CR18","first-page":"367","volume":"5","author":"F. Eddaoudi","year":"2011","unstructured":"Eddaoudi, F., Regragui, F., Mahmoudi, A., Lamouri, N.: Masses detection using svm classifier based on textures analysis. Applied Mathematical Sciences\u00a05(8), 367\u2013379 (2011)","journal-title":"Applied Mathematical Sciences"},{"key":"20_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/978-3-540-46239-2_9","volume-title":"Genetic Programming","author":"J.F. Miller","year":"2000","unstructured":"Miller, J.F., Thomson, P.: Cartesian genetic programming. In: Poli, R., Banzhaf, W., Langdon, W.B., Miller, J., Nordin, P., Fogarty, T.C. (eds.) EuroGP 2000. LNCS, vol.\u00a01802, pp. 121\u2013132. Springer, Heidelberg (2000)"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Ahmad, A.M., Khan, G.M., Mahmud, S.A., Miller, J.F.: Breast cancer detection using cartesian genetic programming evolved artificial neural networks. In: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation Conference, pp. 1031\u20131038. ACM (2012)","DOI":"10.1145\/2330163.2330307"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Ahmad, A.M., Khan, G.M.: Bio-signal processing using cartesian genetic programming evolved artificial neural network (cgpann). In: 2012 10th International Conference on Frontiers of Information Technology (FIT), pp. 261\u2013268. IEEE (2012)","DOI":"10.1109\/FIT.2012.54"},{"key":"20_CR22","series-title":"CCIS","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1007\/978-3-642-41013-0_29","volume-title":"Engineering Applications of Neural Networks","author":"A.M. Ahmad","year":"2013","unstructured":"Ahmad, A.M., Muhammad Khan, G., Mahmud, S.A.: Classification of arrhythmia types using cartesian genetic programming evolved artificial neural networks. In: Iliadis, L., Papadopoulos, H., Jayne, C. (eds.) EANN 2013, Part I. CCIS, vol.\u00a0383, pp. 282\u2013291. Springer, Heidelberg (2013)"},{"key":"20_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/978-3-540-46239-2_9","volume-title":"Genetic Programming","author":"J.F. Miller","year":"2000","unstructured":"Miller, J.F., Thomson, P.: Cartesian genetic programming. In: Poli, R., Banzhaf, W., Langdon, W.B., Miller, J., Nordin, P., Fogarty, T.C. (eds.) EuroGP 2000. LNCS, vol.\u00a01802, pp. 121\u2013132. Springer, Heidelberg (2000)"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Haralick, R., Shanmugam, K., Dinstein, I.: Texture features for image classification. IEEE Transactions on Systems, Man, and Cybernetics\u00a03(6) (1973)","DOI":"10.1109\/TSMC.1973.4309314"}],"container-title":["Lecture Notes in Computer Science","Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-44654-6_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T19:49:11Z","timestamp":1565812151000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-44654-6_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319125671","9783319125688"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-44654-6_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}