{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:01:29Z","timestamp":1775577689820,"version":"3.50.1"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319415451","type":"print"},{"value":"9783319415468","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-41546-8_7","type":"book-chapter","created":{"date-parts":[[2016,6,16]],"date-time":"2016-06-16T01:52:09Z","timestamp":1466041929000},"page":"51-56","source":"Crossref","is-referenced-by-count":30,"title":["A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography"],"prefix":"10.1007","author":[{"given":"Thijs","family":"Kooi","sequence":"first","affiliation":[]},{"given":"Albert","family":"Gubern-Merida","sequence":"additional","affiliation":[]},{"given":"Jan-Jurre","family":"Mordang","sequence":"additional","affiliation":[]},{"given":"Ritse","family":"Mann","sequence":"additional","affiliation":[]},{"given":"Ruud","family":"Pijnappel","sequence":"additional","affiliation":[]},{"given":"Klaas","family":"Schuur","sequence":"additional","affiliation":[]},{"given":"Ard","family":"den Heeten","sequence":"additional","affiliation":[]},{"given":"Nico","family":"Karssemeijer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,6,17]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.1093\/jnci\/djr206","volume":"103","author":"JJ Fenton","year":"2011","unstructured":"Fenton, J.J., Abraham, L., Taplin, S.H., Geller, B.M., Carney, P.A., D\u2019Orsi, C., Elmore, J.G., Barlow, W.E.: Effectiveness of computer-aided detection in community mammography practice. J. Natl. Cancer Inst. 103, 1152\u20131161 (2011)","journal-title":"J. Natl. Cancer Inst."},{"issue":"7553","key":"7_CR2","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"7_CR3","first-page":"1097","volume":"25","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 25, 1097\u20131105 (2012)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"7_CR4","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G., et al.: Human-level control through deep reinforcement learning. Nature 518, 529\u2013533 (2015)","journal-title":"Nature"},{"issue":"7587","key":"7_CR5","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1038\/nature16961","volume":"529","author":"D Silver","year":"2016","unstructured":"Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al.: Mastering the game of go with deep neural networks and tree search. Nature 529(7587), 484\u2013489 (2016)","journal-title":"Nature"},{"key":"7_CR6","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1109\/42.538938","volume":"15","author":"N Karssemeijer","year":"1996","unstructured":"Karssemeijer, N., te Brake, G.M.: Detection of stellate distortions in mammograms. IEEE Trans. Med. Imaging 15, 611\u2013619 (1996)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"7_CR7","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"7_CR8","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition (2014). arXiv:14091556"},{"key":"7_CR9","unstructured":"Dauphin, Y.N., de Vries, H., Chung, J., Bengio, Y.: RMSProp and equilibrated adaptive learning rates for non-convex optimization (2015). arXiv:150204390"},{"issue":"1","key":"7_CR10","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: Surpassing human-level performance on imagenet classification (2015). arXiv:150201852v1","DOI":"10.1109\/ICCV.2015.123"},{"key":"7_CR12","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1016\/j.acra.2007.12.015","volume":"15","author":"SL Hillis","year":"2008","unstructured":"Hillis, S.L., Berbaum, K.S., Metz, C.E.: Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis. Acad. Radiol. 15, 647\u2013661 (2008)","journal-title":"Acad. Radiol."}],"container-title":["Lecture Notes in Computer Science","Breast Imaging"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-41546-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T16:13:49Z","timestamp":1568045629000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-41546-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319415451","9783319415468"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-41546-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}