{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T03:34:11Z","timestamp":1764905651378,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319469751"},{"type":"electronic","value":"9783319469768"}],"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\/978-3-319-46976-8_13","type":"book-chapter","created":{"date-parts":[[2016,9,25]],"date-time":"2016-09-25T23:43:16Z","timestamp":1474846996000},"page":"121-129","source":"Crossref","is-referenced-by-count":28,"title":["Medical Image Description Using Multi-task-loss CNN"],"prefix":"10.1007","author":[{"given":"Pavel","family":"Kisilev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eli","family":"Sason","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ella","family":"Barkan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sharbell","family":"Hashoul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,27]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Guillaumin, M., Mensink, T., Verbeek, J.J., Schmid, C.: Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation. In: ICCV (2009)","key":"13_CR1","DOI":"10.1109\/ICCV.2009.5459266"},{"key":"13_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-3-642-15561-1_2","volume-title":"Computer Vision \u2013 ECCV 2010","author":"A Farhadi","year":"2010","unstructured":"Farhadi, A., Hejrati, M., Sadeghi, M.A., Young, P., Rashtchian, C., Hockenmaier, J., Forsyth, D.: Every picture tells a story: generating sentences from images. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6316, pp. 15\u201329. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-15561-1_2"},{"unstructured":"V. Ordonez, G. Kulkarni and T. L. Berg.\u00a0Im2Text: Describing Images Using 1 Million Captioned Photographs.\u00a0In NIPS 2011, pages 1143\u20131151","key":"13_CR3"},{"key":"13_CR4","first-page":"1292","volume":"13","author":"D Elliott","year":"2013","unstructured":"Elliott, D., Keller, F.: Image description using visual dependency representations. EMNLP 13, 1292\u20131302 (2013)","journal-title":"EMNLP"},{"key":"13_CR5","volume-title":"Breast imaging reporting and data system: ACR BI-RADS - breast imaging atlas","author":"CJ D\u2019Orsi","year":"2003","unstructured":"D\u2019Orsi, C.J., Mendelson, E.B., Ikeda, D.M., et al.: Breast imaging reporting and data system: ACR BI-RADS - breast imaging atlas. American College of Radiology, Reston (2003)"},{"issue":"1","key":"13_CR6","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.eururo.2015.08.052","volume":"69","author":"J Weinreb","year":"2016","unstructured":"Weinreb, J., et al.: PI-RADS prostate imaging - reporting and data system: 2015, Version 2. Eur. Urol. 69(1), 16\u201340 (2016)","journal-title":"Eur. Urol."},{"issue":"3","key":"13_CR7","doi-asserted-by":"publisher","first-page":"1056","DOI":"10.1002\/hep.27304","volume":"61","author":"D Mitchell","year":"2015","unstructured":"Mitchell, D., et al.: Li-RAD in liver lesions. Hepatology 61(3), 1056\u20131065 (2015)","journal-title":"Hepatology"},{"issue":"2","key":"13_CR8","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.media.2009.12.005","volume":"14","author":"A Oliver","year":"2010","unstructured":"Oliver, A., Freixenet, J., Mart\u00ed, J., P\u00e9rez, E., Pont, J., Denton, E.R., Zwiggelaar, R.: A review of automatic mass detection and segmentation in mammographic images. Med. Image Anal. 14(2), 87\u2013110 (2010)","journal-title":"Med. Image Anal."},{"issue":"4","key":"13_CR9","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1016\/j.jbi.2011.01.012","volume":"44","author":"C-H Wei","year":"2011","unstructured":"Wei, C.-H., Li, Y., Huang, P.J.: Mammogram retrieval through machine learning within BI-RADS standards. J. Biomed. Inform. 44(4), 607\u2013614 (2011)","journal-title":"J. Biomed. Inform."},{"key":"13_CR10","series-title":"International Series in Operations Research & Management Science","first-page":"695","volume-title":"Operations Research and Health Care","author":"DL Rubin","year":"2004","unstructured":"Rubin, D.L., Burnside, E.S., Shachter, R.: A bayesian network to assist mammography interpretation. In: Brandeau, M.L., Sainfort, F., Pierskalla, W.P. (eds.) Operations Research and Health Care. International Series in Operations Research & Management Science, vol. 70, pp. 695\u2013720. Springer, New York (2004)"},{"key":"13_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/978-3-642-13666-5_91","volume-title":"Digital Mammography","author":"F Narvaez","year":"2010","unstructured":"Narvaez, F., Diaz, G., Romero, E.: Automatic BI-RADS description of mammographic masses. In: Mart\u00ed, J., Oliver, A., Freixenet, A., Mart\u00ed, R. (eds.) Digital Mammography. Lecture Notes in Computer Science, vol. 6316, pp. 673\u2013681. Springer, New York (2010)"},{"doi-asserted-by":"crossref","unstructured":"Kisilev, P., Walach, E., Hashoul, S., Barkan, E., Ophir, B., Alpert, S.: Semantic description of medical image findings: structured learning approach. In: BMVC (2015)","key":"13_CR12","DOI":"10.5244\/C.29.171"},{"key":"13_CR13","first-page":"212","volume-title":"Proceedings of the Fifth International Workshop on Digital Mammography","author":"M Heath","year":"2001","unstructured":"Heath, M., Bowyer, K., Kopans, D., Moore, R., Philip Kegelmeyer, W.: The digital database for screening mammography. In: Yaffe, M.J. (ed.) Proceedings of the Fifth International Workshop on Digital Mammography, pp. 212\u2013218. Medical Physics Publishing, Madison (2001)"},{"unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: Towards real-time object detection with region proposal networks. In: NIPS (2015)","key":"13_CR14"},{"unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: Convolutional architecture for fast feature embedding (2014). arXiv:1408.5093","key":"13_CR15"}],"container-title":["Lecture Notes in Computer Science","Deep Learning and Data Labeling for Medical Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46976-8_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T20:28:21Z","timestamp":1568406501000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46976-8_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319469751","9783319469768"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46976-8_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}