{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T03:36:20Z","timestamp":1784864180849,"version":"3.55.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2007,7,12]],"date-time":"2007-07-12T00:00:00Z","timestamp":1184198400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2009,2]]},"DOI":"10.1007\/s10489-007-0073-z","type":"journal-article","created":{"date-parts":[[2007,7,17]],"date-time":"2007-07-17T00:35:33Z","timestamp":1184632533000},"page":"24-36","source":"Crossref","is-referenced-by-count":149,"title":["An intelligent system for automated breast cancer diagnosis and\u00a0prognosis using SVM based classifiers"],"prefix":"10.1007","volume":"30","author":[{"given":"Ilias","family":"Maglogiannis","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elias","family":"Zafiropoulos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ioannis","family":"Anagnostopoulos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2007,7,12]]},"reference":[{"key":"73_CR1","unstructured":"Estimated new cancer cases and deaths for 2005. http:\/\/seer.cancer.gov\/cgi-bin\/csr"},{"issue":"4","key":"73_CR2","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1287\/opre.43.4.570","volume":"43","author":"Mangasarian","year":"1995","unstructured":"Mangasarian et al. (1995) Breast cancer diagnosis and prognosis via linear programming. Oper Res 43(4):570\u2013577","journal-title":"Oper Res"},{"key":"73_CR3","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1002\/(SICI)1097-0142(19970215)79:4<857::AID-CNCR24>3.0.CO;2-Y","volume":"79","author":"HB Burke","year":"1997","unstructured":"Burke HB, Goodman PH et al. (1997) Artificial neural networks improve the accuracy of cancer survival prediction. Cancer 79:857\u2013862","journal-title":"Cancer"},{"issue":"3","key":"73_CR4","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1109\/72.501716","volume":"7","author":"PL Choong","year":"1996","unstructured":"Choong PL, de Silva CJS et al. (1996) Entropy maximization networks, an application to breast cancer prognosis. IEEE Trans Neural Netw 7(3):568\u2013577","journal-title":"IEEE Trans Neural Netw"},{"key":"73_CR5","volume-title":"Proceedings of the fifteenth international conference on machine learning, Madison, WI","author":"WN Street","year":"1998","unstructured":"Street WN (1998) A neural network model for prognostic prediction. In: Proceedings of the fifteenth international conference on machine learning, Madison, WI. Kaufmann, Los Altos"},{"issue":"3","key":"73_CR6","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1017\/S0269888906000671","volume":"20","author":"P Perner","year":"2005","unstructured":"Perner P, Holt A, Richter M (2005) Image processing in case-based reasoning. Knowl Eng Rev 20(3):311\u2013314","journal-title":"Knowl Eng Rev"},{"issue":"1","key":"73_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S1361-8415(01)80026-8","volume":"2","author":"J Maintz","year":"1998","unstructured":"Maintz J, Viergever M (1998) A survey of medical image registration. Med Image Anal 2(1):1\u201316","journal-title":"Med Image Anal"},{"issue":"1","key":"73_CR8","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1111\/j.1467-8640.1985.tb00056.x","volume":"1","author":"J Tsotsos","year":"1985","unstructured":"Tsotsos J (1985) Knowledge organization and its role in representation and interpretation for time-varying data: the ALVEN system. Comput Intell 1(1):16\u201332","journal-title":"Comput Intell"},{"key":"73_CR9","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1145\/359997.360004","volume":"19","author":"A Martelli","year":"1976","unstructured":"Martelli A (1976) An application of heuristic search methods to edge and contour detection. Commun ACM 19:73\u201383","journal-title":"Commun ACM"},{"issue":"2","key":"73_CR10","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/S1361-8415(96)80007-7","volume":"1","author":"T McInerney","year":"1996","unstructured":"McInerney T, Terzopoulos D (1996) Deformable models in medical image analysis: a survey. Med Image Anal 1(2):91\u2013108","journal-title":"Med Image Anal"},{"key":"73_CR11","first-page":"337","volume-title":"Constrained deformable superquadrics and nonrigid motion tracking, computer vision and pattern Recognition","year":"1991","unstructured":"Metaxas D, Terzopoulos D (1991) In: Medioni G, Horn B (eds) Constrained deformable superquadrics and nonrigid motion tracking, computer vision and pattern Recognition. IEEE Computer Society, Los Alamitos, pp\u00a0337\u2013343"},{"issue":"5","key":"73_CR12","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1109\/42.538949","volume":"78","author":"L Staib","year":"1996","unstructured":"Staib L, Duncan J (1996) Model-based deformable surface finding for medical images. IEEE Trans Med Imaging 78(5):720\u2013731","journal-title":"IEEE Trans Med Imaging"},{"issue":"6","key":"73_CR13","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/j.medengphy.2006.07.012","volume":"29","author":"L Bocchi","year":"2007","unstructured":"Bocchi L, Nori J (2007) Shape analysis of microcalcifications using Radon transform. Med Eng Phys 29(6):691\u2013698","journal-title":"Med Eng Phys"},{"issue":"11","key":"73_CR14","doi-asserted-by":"crossref","first-page":"1720","DOI":"10.1016\/j.patrec.2004.12.007","volume":"26","author":"J Amores","year":"2005","unstructured":"Amores J, Radeva P (2005) Registration and retrieval of highly elastic bodies using contextual information. Pattern Recognit Lett 26(11):1720\u20131731","journal-title":"Pattern Recognit Lett"},{"issue":"3","key":"73_CR15","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.jvcir.2004.04.005","volume":"15","author":"Sameer Antani","year":"2004","unstructured":"Antani Sameer, Lee DJ, Long LR, Thoma GR, (2004) Evaluation of shape similarity measurement methods for spine X-ray images. J Vis Commun Image Represent 15(3):285\u2013302","journal-title":"J Vis Commun Image Represent"},{"issue":"11","key":"73_CR16","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1016\/S0262-8856(02)00087-2","volume":"20","author":"V Zapater","year":"2002","unstructured":"Zapater V, Martinez-Costa L, Ayala G (2002) Classifying human endothelial cells based on individual granulometric size distributions. Image Vis Comput 20(11):783\u2013791","journal-title":"Image Vis Comput"},{"issue":"1","key":"73_CR17","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1006\/fstl.2001.0821","volume":"35","author":"H Martens","year":"2002","unstructured":"Martens H, Thybo AK, Andersen HJ, Karlsson AH, Donstrup S, Stodkilde-Jorgensen H, Martens M (2002) Sensory analysis for magnetic resonance-image analysis: using human perception and cognition to segment and assess the interior of potatoes. Lebensm Wiss Technol 35(1):70\u201379","journal-title":"Lebensm Wiss Technol"},{"issue":"1","key":"73_CR18","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1109\/TITB.2004.837859","volume":"9","author":"I Maglogiannis","year":"2005","unstructured":"Maglogiannis I, Pavlopoulos S, Koutsouris D (2005) An integrated computer supported acquisition, handling and characterization system for pigmented skin lesions in dermatological images. IEEE Trans Inf Technol Biomed 9(1):86\u201398","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"1","key":"73_CR19","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/0301-5629(88)90074-9","volume":"14","author":"D Morris","year":"1988","unstructured":"Morris D (1988) An evaluation of the use of texture measures for tissue characterization of ultrasound images of in vivo human placenta. Ultrasound Med Biol 14(1):387\u2013395","journal-title":"Ultrasound Med Biol"},{"key":"73_CR20","doi-asserted-by":"crossref","unstructured":"Doukas C, Maglogiannis I, Chatzioannou A, Papapetropoulos C (2006) Automated angiogenesis quantification through advanced image processing techniques. In: Proceedings of the 28th IEEE engineering in medicine and biology conference, EMBC 2006, pp\u00a02345\u20132348","DOI":"10.1109\/IEMBS.2006.260675"},{"key":"73_CR21","first-page":"975","volume":"15","author":"Anagnostopoulos","year":"2006","unstructured":"Anagnostopoulos, Anagnostopoulos C, Vergados D, Rouskas A, Kormentzas G (2006) The Wisconsin breast cancer problem: diagnosis and TTR\/DFS time prognosis using probabilistic and generalised regression information classifiers. Oncol Rep, special issue Computational analysis and decision support systems in oncology 15:975\u2013982","journal-title":"Oncol Rep, special issue Computational analysis and decision support systems in oncology"},{"key":"73_CR22","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1016\/0046-8177(95)90229-5","volume":"26","author":"WH Wolberg","year":"1995","unstructured":"Wolberg WH, Street WN, Heisey DM, Mangasarian OL (1995) Computer-derived nuclear features distinguish malignant from benign breast cytology. Hum Pathol 26:792\u2013796","journal-title":"Hum Pathol"},{"key":"73_CR23","doi-asserted-by":"crossref","first-page":"804","DOI":"10.1118\/1.1367861","volume":"28","author":"GD Tourassi","year":"2001","unstructured":"Tourassi GD, Markey MK, Lo JY, Floyd CE Jr (2001) A neural network approach to breast cancer diagnosis as a constraint satisfaction problem. Med Phys 28:804\u2013811","journal-title":"Med Phys"},{"key":"73_CR24","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1016\/0046-8177(95)90229-5","volume":"26","author":"WH Wolberg","year":"1995","unstructured":"Wolberg WH, Street WN, Heisey DM, Mangasarian OL (1995) Computer-derived nuclear features distinguish malignant from benign breast cytology. Hum Pathol 26:792\u2013796","journal-title":"Hum Pathol"},{"key":"73_CR25","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/0304-3835(94)90099-X","volume":"77","author":"WH Wolberg","year":"1994","unstructured":"Wolberg WH, Street WN, Mangasarian OL (1994) Machine learning techniques to diagnose breast cancer from fine-needle aspirates. Cancer Lett 77:163\u2013171","journal-title":"Cancer Lett"},{"issue":"2","key":"73_CR26","first-page":"77","volume":"17","author":"WH Wolberg","year":"1995","unstructured":"Wolberg WH, Street WN, Mangasarian OL (1995) Image analysis and machine learning applied to breast cancer diagnosis and prognosis. Anal Quant Cytol Histol 17(2):77\u201387","journal-title":"Anal Quant Cytol Histol"},{"issue":"1","key":"73_CR27","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1109\/72.896798","volume":"12","author":"T Hoya","year":"2001","unstructured":"Hoya T, Chambers JA (2001) Heuristic pattern correction scheme using adaptively trained generalized regression neural networks. IEEE Trans Neural Netw 12(1):91\u2013100","journal-title":"IEEE Trans Neural Netw"},{"key":"73_CR28","doi-asserted-by":"crossref","unstructured":"Kaban A, Girolami M (2000) Initialized and guided EM-clustering of sparse binary data with application to text based documents. In: 15th international conference on pattern recognition, vol 2, September 2000, pp 744\u2013747","DOI":"10.1109\/ICPR.2000.906182"},{"issue":"3","key":"73_CR29","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1049\/ip-sen:20040121","volume":"151","author":"I Anagnostopoulos","year":"2004","unstructured":"Anagnostopoulos I, Anagnostopoulos C, Loumos V, Kayafas E (2004) Classifying web pages employing a probabilistic neural network classifier. IEE Proc Softw 151(3):139\u2013150","journal-title":"IEE Proc Softw"},{"key":"73_CR30","unstructured":"Burges C. A\u00a0tutorial on support vector machines for pattern recognition. http:\/\/www.kernel-machines.org\/"},{"key":"73_CR31","unstructured":"Sch\u00f6lkopf B. Statistical learning and kernel methods. http:\/\/research.Microsoft.com\/~bsc"},{"key":"73_CR32","unstructured":"Campbell C. Kernel\u2009methods: a\u2009survey of current techniques. http:\/\/www.kernel-machines.org\/"},{"key":"73_CR33","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/1472-6947-4-4","volume":"4","author":"IG Maglogiannis","year":"2004","unstructured":"Maglogiannis IG, Zafiropoulos EP (2004) Characterization of digital medical images utilizing support vector machines. BMC Med Inform Decis Mak 4:4","journal-title":"BMC Med Inform Decis Mak"},{"key":"73_CR34","unstructured":"Duan KB, Keerthi SS (2005) Which is the best multiclass SVM method? In: Oza NC et al (eds) An empirical study, MCS 2005. Lecture notes in computer science, vol 3541, pp 278\u2013285"},{"issue":"9","key":"73_CR35","doi-asserted-by":"crossref","first-page":"1132","DOI":"10.1093\/bioinformatics\/btg102","volume":"19","author":"Y Lee","year":"2003","unstructured":"Lee Y, Lee C-K (2003) Classification of multiple cancer types by multicategory support vector machines using gene expression data. Bioinformatics 19(9):1132\u20131139","journal-title":"Bioinformatics"},{"key":"73_CR36","volume-title":"Data mining: practical machine learning tools and techniques","author":"IH Witten","year":"2005","unstructured":"Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques, 2nd ed. Kaufmann, Los Altos","edition":"2"},{"issue":"1","key":"73_CR37","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/0893-6080(90)90049-Q","volume":"3","author":"DF Specht","year":"1990","unstructured":"Specht DF (1990) Probabilistic neural networks. Neural Netw 3(1), 109\u2013118","journal-title":"Neural Netw"},{"key":"73_CR38","volume-title":"Fuzzy logic and neural network handbook","author":"DF Specht","year":"1996","unstructured":"Specht DF (1996) Probabilistic neural networks and general regression neural networks. In: Chen CH (ed) Fuzzy logic and neural network handbook. McGraw-Hill, New York"},{"key":"73_CR39","volume-title":"Advanced algorithms for neural networks","author":"T Masters","year":"1995","unstructured":"Masters T (1995) Advanced algorithms for neural networks. Wiley, New York"},{"key":"73_CR40","unstructured":"University of Waikato. Weka software. Available at http:\/\/www.cs.waikato.ac.nz\/"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-007-0073-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-007-0073-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-007-0073-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T18:25:41Z","timestamp":1559154341000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-007-0073-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,7,12]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2009,2]]}},"alternative-id":["73"],"URL":"https:\/\/doi.org\/10.1007\/s10489-007-0073-z","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,7,12]]}}}