{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T05:57:58Z","timestamp":1725602278682},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642238772"},{"type":"electronic","value":"9783642238789"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-23878-9_9","type":"book-chapter","created":{"date-parts":[[2011,8,24]],"date-time":"2011-08-24T07:54:01Z","timestamp":1314172441000},"page":"66-75","source":"Crossref","is-referenced-by-count":0,"title":["SVM Approach to Classifying Lesions in USG Images with the Use of the Gabor Decomposition"],"prefix":"10.1007","author":[{"given":"Marcin","family":"Ciecholewski","sequence":"first","affiliation":[]}],"member":"297","reference":[{"issue":"2","key":"9_CR1","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1023\/A:1009715923555","volume":"2","author":"C.J.C. Burges","year":"1998","unstructured":"Burges, C.J.C.: A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery\u00a02(2), 955\u2013974 (1998)","journal-title":"Data Mining and Knowledge Discovery"},{"key":"9_CR2","first-page":"223","volume-title":"Advances in Neural Information Processing Systems","author":"C.J.C. Burges","year":"1999","unstructured":"Burges, C.J.C., Crisp, D.: Uniqueness of the SVM solution. In: Advances in Neural Information Processing Systems, vol.\u00a012, pp. 223\u2013229. MIT Press, Cambridge (1999)"},{"key":"9_CR3","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-642-16292-3_17","volume-title":"Modeling Decisions for Artificial Intelligence","author":"M. Ciecholewski","year":"2010","unstructured":"Ciecholewski, M.: Gallbladder Segmentation in 2-D Ultrasound Images Using Deformable Contour Methods. In: Torra, V., Narukawa, Y., Daumas, M. (eds.) MDAI 2010. LNCS (LNAI), vol.\u00a06408, pp. 163\u2013174. Springer, Heidelberg (2010)"},{"key":"9_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-3-642-15381-5_8","volume-title":"Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2010","author":"M. Ciecholewski","year":"2010","unstructured":"Ciecholewski, M.: Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model. In: Fyfe, C., Tino, P., Charles, D., Garcia-Osorio, C., Yin, H. (eds.) IDEAL 2010. LNCS, vol.\u00a06283, pp. 63\u201369. Springer, Heidelberg (2010)"},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"Ciecholewski, M.: Support Vector Machine Approach to Cardiac SPECT Diagnosis. In: Koroutchev, K. (ed.) IWCIA 2011. LNCS, vol.\u00a06636, pp. 432\u2013443. Springer, Heidelberg (2011)","DOI":"10.1007\/978-3-642-21073-0_38"},{"issue":"2","key":"9_CR6","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s10115-006-0043-5","volume":"11","author":"G. Fung","year":"2007","unstructured":"Fung, G., Stoeckel, J.: SVM feature selection for classification of SPECT images of Alzheimer\u2019s disease using spatial information. Knowledge and Information Systems\u00a011(2), 243\u2013258 (2007)","journal-title":"Knowledge and Information Systems"},{"key":"9_CR7","first-page":"427","volume":"93","author":"D. Gabor","year":"1946","unstructured":"Gabor, D.: Theory of communications. J. Int. Electr. Eng.\u00a093, 427\u2013457 (1946)","journal-title":"J. Int. Electr. Eng."},{"key":"9_CR8","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/0146-664X(78)90047-3","volume":"8","author":"G. Granlund","year":"1978","unstructured":"Granlund, G.: In search of a general picture processing operator. Comp. Graph. Image Proc.\u00a08, 155\u2013173 (1978)","journal-title":"Comp. Graph. Image Proc."},{"key":"9_CR9","unstructured":"Gunn, S.: Support vector machines for classification and regression. Technical Report. Dept. of Electronics and Computer Science. University of Southampton, Southampton, U.K (1998)"},{"issue":"3","key":"9_CR10","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1155\/2002\/787598","volume":"16","author":"R.P. Myers","year":"2002","unstructured":"Myers, R.P., Shaffer, E.A., Beck, P.L.: Gallbladder polyps: Epidemiology, natural history and management. Can. J. Gastroenterol.\u00a016(3), 187\u2013194 (2002)","journal-title":"Can. J. Gastroenterol."},{"key":"9_CR11","first-page":"276","volume-title":"Neural Networks for Signal Processing VII","author":"E. Osuna","year":"1998","unstructured":"Osuna, E., Freund, R., Girosi, F.: An improved training algorithm for support vector machines. In: Principe, J., Gile, L., Morgan, N., Wilson, E. (eds.) Neural Networks for Signal Processing VII, pp. 276\u2013285. IEEE, New York (1998)"},{"key":"9_CR12","first-page":"185","volume-title":"Advances in Kernel Methods \u2013 Support Vector Learning","author":"J. Platt","year":"1999","unstructured":"Platt, J.: Fast training of support vector machines using sequential minimal optimization. In: Sch\u00f6lkopf, B., Burges, C.J., Smola, A.J. (eds.) Advances in Kernel Methods \u2013 Support Vector Learning, pp. 185\u2013220. MIT Press, Cambridge (1999)"},{"key":"9_CR13","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/S0140-6736(06)69044-2","volume":"368","author":"P. Portincasa","year":"2006","unstructured":"Portincasa, P., Moschetta, A., Palasciano, G.: Cholesterol gallstone disease. Lancet\u00a0368, 230\u2013239 (2006)","journal-title":"Lancet"},{"key":"9_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1007\/978-3-642-13769-3_54","volume-title":"Hybrid Artificial Intelligence Systems","author":"D. Salas-Gonzalez","year":"2010","unstructured":"Salas-Gonzalez, D., G\u00f3rriz, J.M., Ram\u00edrez, J., Segovia, F., Chaves, R., L\u00f3pez, M., Ill\u00e1n, I.A., Padilla, P.: Selecting regions of interest in SPECT images using wilcoxon test for the diagnosis of alzheimer\u2019s disease. In: Gra\u00f1a Romay, M., Corchado, E., Garcia Sebastian, M.T. (eds.) HAIS 2010. LNCS, vol.\u00a06076, pp. 446\u2013451. Springer, Heidelberg (2010)"},{"issue":"4","key":"9_CR15","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1016\/S0262-8856(99)00080-3","volume":"18","author":"F. Smeraldi","year":"2000","unstructured":"Smeraldi, F., Carmona, O., Big\u00fcn, J.: Saccadic search with Gabor features applied to eye detection and real-time head tracking. Image Vision Comp.\u00a018(4), 323\u2013329 (2000)","journal-title":"Image Vision Comp."},{"key":"9_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V. Vapnik","year":"1995","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)"},{"key":"9_CR17","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. John Wiley & Sons, Inc., New York (1998)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning - IDEAL 2011"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-23878-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T01:19:18Z","timestamp":1554081558000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-23878-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642238772","9783642238789"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-23878-9_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}