{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T18:42:31Z","timestamp":1760985751424,"version":"3.37.3"},"reference-count":12,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2018,11,21]],"date-time":"2018-11-21T00:00:00Z","timestamp":1542758400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2018,11,21]],"date-time":"2018-11-21T00:00:00Z","timestamp":1542758400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100000092","name":"U.S. National Library of Medicine","doi-asserted-by":"publisher","award":["1U01LM012675"],"award-info":[{"award-number":["1U01LM012675"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["UH2CA203792"],"award-info":[{"award-number":["UH2CA203792"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1007\/s10278-018-0154-z","type":"journal-article","created":{"date-parts":[[2018,11,21]],"date-time":"2018-11-21T19:54:24Z","timestamp":1542830064000},"page":"228-233","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers"],"prefix":"10.1007","volume":"32","author":[{"given":"Dmytro S.","family":"Lituiev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hari","family":"Trivedi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maryam","family":"Panahiazar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Beau","family":"Norgeot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngho","family":"Seo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Franc","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roy","family":"Harnish","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Kawczynski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dexter","family":"Hadley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,21]]},"reference":[{"key":"154_CR1","doi-asserted-by":"publisher","unstructured":"Berkman Sahiner: Digital Mammography DREAM Challenge Overview (Conference Presentation), Proc. SPIE 10134, Medical Imaging 2017: computer-Aided Diagnosis, 101344I (25 April 2017); doi: \n                    https:\/\/doi.org\/10.1117\/12.2280375","DOI":"10.1117\/12.2280375"},{"key":"154_CR2","doi-asserted-by":"publisher","unstructured":"Sawyer Lee R, Gimenez F, Hoogi A, Rubin D. Curated Breast Imaging Subset of DDSM. The Cancer Imaging Archive. DOI:\n                    https:\/\/doi.org\/10.7937\/K9\/TCIA.2016.7O02S9CY\n                    \n                   2016","DOI":"10.7937\/K9\/TCIA.2016.7O02S9CY"},{"key":"154_CR3","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.acra.2011.09.014","volume":"19","author":"IC Moreira","year":"2012","unstructured":"Moreira IC, Amaral I, Domingues I, Cardoso A, Cardoso MJ, Cardoso JS: INbreast: toward a full-field digital mammographic database. Acad Radiol 19:236\u2013248, 2012","journal-title":"Acad Radiol"},{"key":"154_CR4","doi-asserted-by":"crossref","unstructured":"Madani A, Arnaout R, Mofrad M, Arnaout R: Fast and accurate classification of echocardiograms using deep learning. ArXiv e-prints. 2017; (arXiv:1706)","DOI":"10.1038\/s41746-017-0013-1"},{"key":"154_CR5","unstructured":"Mammography Quality Standards Act and Program. 2017 Scorecard statistics. (Accesed on June 5, 2018) \n                    https:\/\/www.fda.gov\/Radiation-EmittingProducts\/MammographyQualityStandardsActandProgram\/FacilityScorecard\/ucm539394.htm"},{"key":"154_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.18637\/jss.v028.i05","volume":"28","author":"M Kuhn","year":"2008","unstructured":"Kuhn M: Building Predictive Models in R Using the caret Package. J Stat Softw 28:5, 2008. \n                    https:\/\/doi.org\/10.18637\/jss.v028.i05","journal-title":"J Stat Softw"},{"key":"154_CR7","unstructured":"Friedman J, Hastie T, Tibshirani R: Lasso and elastic-net regularized generalized linear models. R package version, 2011"},{"key":"154_CR8","doi-asserted-by":"crossref","unstructured":"Szegedy C, Liu W, Jia Y, et al.: Going Deeper With Convolutions. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1\u20139, 2015","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"154_CR9","unstructured":"Ribeiro MT, Singh S, Guestrin C.: Why Should I Trust You?: Explaining the Predictions of Any Classifier. arXiv:1602.04938, 2016"},{"key":"154_CR10","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1186\/1471-2105-12-77","volume":"7","author":"X Robin","year":"2011","unstructured":"Robin X, Turck N, Hainard A et al.: pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 7:77, 2011. \n                    https:\/\/doi.org\/10.1186\/1471-2105-12-77","journal-title":"BMC Bioinformatics"},{"key":"154_CR11","doi-asserted-by":"publisher","first-page":"1895","DOI":"10.1162\/089976698300017197","volume":"10","author":"TG Dietterich","year":"1998","unstructured":"Dietterich TG: Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation 10:1895\u20131923, 1998","journal-title":"Neural Computation"},{"key":"154_CR12","unstructured":"Russakovsky O., Deng J., Su H., Krause J., Satheesh S., Ma S., Huang Z., Karpathy A., Khosla A., Bernstein M., Berg A. C., Fei-Fei L: ImageNet Large Scale Visual Recognition Challenge. arXiv:1409.0575, 2015"}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-018-0154-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10278-018-0154-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-018-0154-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,16]],"date-time":"2020-05-16T18:51:25Z","timestamp":1589655085000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10278-018-0154-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,21]]},"references-count":12,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["154"],"URL":"https:\/\/doi.org\/10.1007\/s10278-018-0154-z","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"type":"print","value":"0897-1889"},{"type":"electronic","value":"1618-727X"}],"subject":[],"published":{"date-parts":[[2018,11,21]]},"assertion":[{"value":"21 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}