{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T23:22:48Z","timestamp":1742944968950,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662565360"},{"type":"electronic","value":"9783662565377"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-662-56537-7_31","type":"book-chapter","created":{"date-parts":[[2018,2,20]],"date-time":"2018-02-20T13:08:50Z","timestamp":1519132130000},"page":"67-72","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Classification of Lobular and Ductal Breast Carcinomas by Texture Analysis in DCE-MRI Data"],"prefix":"10.1007","author":[{"given":"Kai","family":"Nie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriel","family":"Mistelbauer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernhard","family":"Preim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,2,21]]},"reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"Li CI, Anderson BO, Daling JR, et al. Trends in incidence rates of invasive lobular and ductal breast carcinoma. JAMA. 2003;289(11):1421\u20131424.","DOI":"10.1001\/jama.289.11.1421"},{"key":"31_CR2","doi-asserted-by":"crossref","unstructured":"Chen Z, Yang J, Li S, et al. Invasive lobular carcinoma of the breast: a special histological type compared with invasive ductal carcinoma. PLoS One. 2017;12(9).","DOI":"10.1371\/journal.pone.0182397"},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Barroso-Sousa R, Metzger-Filho O. Differences between invasive lobular and invasive ductal carcinoma of the breast: results and therapeutic implications. Ther Adv Med Oncol. 2016;8(4):261\u2013266.","DOI":"10.1177\/1758834016644156"},{"key":"31_CR4","unstructured":"Korkola JE, DeVries S, Fridlyand J, et al. Differentiation of lobular versus ductal breast carcinomas by expression microarray analysis. Cancer Res. 2003;63(21):7167\u20137175."},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Holli K, L\u00e4\u00e4peri AL, Harrison L, et al. Characterization of breast cancer types by texture analysis of magnetic resonance images. Acad Radiol. 2010;17(2):135\u2013141.","DOI":"10.1016\/j.acra.2009.08.012"},{"key":"31_CR6","doi-asserted-by":"crossref","unstructured":"Nie K, Gla\u00dfer S, Niemann U, et al. Classification of DCE-MRI data for breast cancer diagnosis combining contrast agent dynamics and texture features. Procs BVM. 2017; p. 325\u2013330.","DOI":"10.1007\/978-3-662-54345-0_73"},{"key":"31_CR7","doi-asserted-by":"crossref","unstructured":"Preim U, Gla\u00dfer S, Preim B, et al. Computer-aided diagnosis in breast DCE-MRIquantification of the heterogeneity of breast lesions. Eur J Radiol. 2012;81(7):1532\u20131538.","DOI":"10.1016\/j.ejrad.2011.04.045"},{"key":"31_CR8","doi-asserted-by":"crossref","unstructured":"Chang RF, Chen HH, Chang YC, et al. Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI. Magn Reson Imaging. 2016;34(6):809\u2013819.","DOI":"10.1016\/j.mri.2016.03.001"},{"key":"31_CR9","doi-asserted-by":"crossref","unstructured":"Rueckert D, Sonoda LI, Hayes C, et al. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging. 1999;18(8):712\u2013721.","DOI":"10.1109\/42.796284"},{"key":"31_CR10","doi-asserted-by":"crossref","unstructured":"Breiman L. Random forests. Mach Learn. 2001;45(1):5\u201332.","DOI":"10.1023\/A:1010933404324"}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2018"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-56537-7_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T02:21:33Z","timestamp":1570760493000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-56537-7_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783662565360","9783662565377"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-56537-7_31","relation":{},"ISSN":["1431-472X"],"issn-type":[{"type":"print","value":"1431-472X"}],"subject":[],"published":{"date-parts":[[2018]]}}}