{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T10:39:44Z","timestamp":1772793584362,"version":"3.50.1"},"reference-count":30,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2005,6,1]],"date-time":"2005-06-01T00:00:00Z","timestamp":1117584000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Artificial Intelligence in Medicine"],"published-print":{"date-parts":[[2005,6]]},"DOI":"10.1016\/j.artmed.2004.09.001","type":"journal-article","created":{"date-parts":[[2004,12,19]],"date-time":"2004-12-19T13:30:12Z","timestamp":1103463012000},"page":"129-139","source":"Crossref","is-referenced-by-count":42,"title":["Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods"],"prefix":"10.1016","volume":"34","author":[{"given":"Tim W.","family":"Nattkemper","sequence":"first","affiliation":[]},{"given":"Bert","family":"Arnrich","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Lichte","sequence":"additional","affiliation":[]},{"given":"Wiebke","family":"Timm","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Degenhard","sequence":"additional","affiliation":[]},{"given":"Linda","family":"Pointon","sequence":"additional","affiliation":[]},{"given":"Carmel","family":"Hayes","sequence":"additional","affiliation":[]},{"given":"Martin O.","family":"Leach","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.artmed.2004.09.001_bib1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1186\/bcr265","article-title":"Application of magnetic resonance imaging to early detection of breast cancer","volume":"3","author":"Schnall","year":"2001","journal-title":"Breast Cancer Res"},{"key":"10.1016\/j.artmed.2004.09.001_bib2","series-title":"Contrast enhanced MRI of the breast","author":"Heywang-Kobrunner","year":"1996"},{"issue":"1","key":"10.1016\/j.artmed.2004.09.001_bib3","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/S0730-725X(01)00222-3","article-title":"Classification of signal\u2013time curves from dynamic mr mammography by neural networks","volume":"19","author":"Lucht","year":"2001","journal-title":"Magn Reson Imaging"},{"issue":"2","key":"10.1016\/j.artmed.2004.09.001_bib4","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/S0720-048X(96)01142-4","article-title":"Contrast-enhanced MRI of the breast: accuracy, value, controversies, solutions","volume":"24","author":"Heywang-Kobrunner","year":"1997","journal-title":"Eur J Radiol"},{"issue":"2","key":"10.1016\/j.artmed.2004.09.001_bib5","doi-asserted-by":"crossref","first-page":"409","DOI":"10.2214\/ajr.169.2.9242744","article-title":"Diagnostic performance characteristics of architectural features revealed by high spatial-resolution MR imaging of the breast","volume":"169","author":"Nunes","year":"1997","journal-title":"AJR Am J Roentgenol"},{"issue":"845","key":"10.1016\/j.artmed.2004.09.001_bib6","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1259\/bjr.71.845.9691895","article-title":"Improved diagnostic accuracy in dynamic contrast enhanced MRI of the breast by combined quantitative and qualitative analysis","volume":"71","author":"Liu","year":"1998","journal-title":"Br J Radiol"},{"issue":"2","key":"10.1016\/j.artmed.2004.09.001_bib7","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1148\/radiology.187.2.8475297","article-title":"MR imaging of the breast with rotating delivery of excitation off resonance: clinical experience with pathologic correlation","volume":"187","author":"Harms","year":"1993","journal-title":"Radiology"},{"issue":"4","key":"10.1016\/j.artmed.2004.09.001_bib8","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/0730-725X(95)02112-7","article-title":"Dynamic sequential 3D gadolinium-enhanced MRI of the whole breast","volume":"14","author":"Heiberg","year":"1996","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.artmed.2004.09.001_bib9","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1148\/radiology.203.1.9122382","article-title":"Dynamic MRI in premenopausal healthy volunteers: normal values of contrast enhancement and cycle phase dependency","volume":"203","author":"Kuhl","year":"1997","journal-title":"Radiology"},{"issue":"7","key":"10.1016\/j.artmed.2004.09.001_bib10","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1016\/S0730-725X(00)00167-3","article-title":"Magnetic resonance imaging screening in women at genetic risk of breast cancer: imaging and analysis protocol for the UK Multicenter Study. UK MRI Breast Screening Study Advisory Group","volume":"18","author":"Brown","year":"2000","journal-title":"Magn Reson Imaging"},{"issue":"4","key":"10.1016\/j.artmed.2004.09.001_bib11","first-page":"678","article-title":"Genetic linkage analysis in familial breast and ovarian cancer: results from 214 families. The breast cancer linkage consortium","volume":"52","author":"Easton","year":"1993","journal-title":"Am J Hum Genet"},{"key":"10.1016\/j.artmed.2004.09.001_bib12","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1088\/0967-3334\/23\/4\/311","article-title":"UMBSS comparison between radiological and artificial neural network diagnosis in clinical screening. Special issue: simulation and modelling applied to medicine","volume":"23","author":"Degenhard","year":"2002","journal-title":"Phys Meas"},{"issue":"3","key":"10.1016\/j.artmed.2004.09.001_bib13","first-page":"1","article-title":"An evolutionary artificial neural networks approach for breast cancer diagnosis","volume":"25","author":"Abbass","year":"2001","journal-title":"Artif Intell Med"},{"key":"10.1016\/j.artmed.2004.09.001_bib14","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/S0933-3657(03)00003-4","article-title":"Self-organizing map for cluster analysis of a breast cancer database","volume":"27","author":"Markey","year":"2003","journal-title":"Artif Intell Med"},{"issue":"3","key":"10.1016\/j.artmed.2004.09.001_bib15","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/S0933-3657(00)00063-4","article-title":"Model selection for a medical diagnostic decision support system: a breast cancer detection case","volume":"20","author":"West","year":"2000","journal-title":"Artif Intell Med"},{"key":"10.1016\/j.artmed.2004.09.001_bib16","series-title":"Proceedings of the National Academy of Sciences (PNAS)","first-page":"9193","article-title":"Multisurface method of pattern separation for medical diagnosis applied to breast cytology","author":"Wolberg","year":"1990"},{"key":"10.1016\/j.artmed.2004.09.001_bib17","series-title":"Neural networks for pattern recognition","author":"Bishop","year":"1997"},{"key":"10.1016\/j.artmed.2004.09.001_bib18","series-title":"Self-organization and associative memory","author":"Kohonen","year":"1989"},{"key":"10.1016\/j.artmed.2004.09.001_bib19","series-title":"Self-organizing maps. Series in information sciences, vol. 30","author":"Kohonen","year":"2000"},{"key":"10.1016\/j.artmed.2004.09.001_bib20","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/S0933-3657(01)00077-X","article-title":"Machine learning for medical diagnosis: history, state of the art and perspective","volume":"23","author":"Kononenko","year":"2001","journal-title":"Artif Intell Med"},{"key":"10.1016\/j.artmed.2004.09.001_bib21","series-title":"Advances in kernel methods\u2014SV learning","first-page":"327","article-title":"Kernel principal component analysis","author":"Sch\u00f6lkopf","year":"1999"},{"key":"10.1016\/j.artmed.2004.09.001_bib22","series-title":"Neural networks for signal processing IX, IEEE","first-page":"41","article-title":"Fisher discriminant analysis with kernels","author":"Mika","year":"1999"},{"key":"10.1016\/j.artmed.2004.09.001_bib23","series-title":"The nature of statistical learning theory","author":"Vapnik","year":"1995"},{"key":"10.1016\/j.artmed.2004.09.001_bib24","series-title":"Advances in kernel methods\u2014support vector learning","article-title":"Fast training of support vector machines using sequential minimal optimization","author":"Platt","year":"1998"},{"key":"10.1016\/j.artmed.2004.09.001_bib25","unstructured":"Keerthi SS, Shevade SS, Bhattacharyya C, Murthy KRK. Improvements to Platt\u2019s SMO algorithm for SVM classifier design. Technical report TR CD-99\u201314. Nat. University of Singapore, 1999."},{"key":"10.1016\/j.artmed.2004.09.001_bib26","series-title":"C4. 5: programs for machine learning","author":"Quinlan","year":"1993"},{"key":"10.1016\/j.artmed.2004.09.001_bib27","series-title":"Scandinavian Conference on AI","first-page":"95","article-title":"On the well-behavedness of important attribute evaluation functions","author":"Elomaa","year":"1997"},{"key":"10.1016\/j.artmed.2004.09.001_bib28","series-title":"Proceedings of the 13th International Joint Conference of Artificial Intelligence (IJCAI), vol. 1","first-page":"1022","article-title":"Multi-interval discretization of continuous-valued attributes for classification learning","author":"Fayyad","year":"1993"},{"issue":"4","key":"10.1016\/j.artmed.2004.09.001_bib29","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1093\/clinchem\/39.4.561","article-title":"Receiver\u2013operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine","volume":"39","author":"Zweig","year":"1993","journal-title":"Clin Chem"},{"key":"10.1016\/j.artmed.2004.09.001_bib30","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/S0167-5877(00)00115-X","article-title":"Principles and practical application of the receiver\u2013operating characteristic analysis for diagnostic tests","volume":"45","author":"Greiner","year":"2000","journal-title":"Prev Vet Med"}],"container-title":["Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0933365704001551?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0933365704001551?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,4,4]],"date-time":"2020-04-04T20:49:27Z","timestamp":1586033367000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S0933365704001551"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,6]]},"references-count":30,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2005,6]]}},"alternative-id":["S0933365704001551"],"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1016\/j.artmed.2004.09.001","relation":{},"ISSN":["0933-3657"],"issn-type":[{"value":"0933-3657","type":"print"}],"subject":[],"published":{"date-parts":[[2005,6]]}}}