{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:43:51Z","timestamp":1761896631926},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319674339"},{"type":"electronic","value":"9783319674346"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-67434-6_17","type":"book-chapter","created":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T09:22:29Z","timestamp":1504084949000},"page":"149-157","source":"Crossref","is-referenced-by-count":12,"title":["Deep Multimodal Case\u2013Based Retrieval for\u00a0Large Histopathology Datasets"],"prefix":"10.1007","author":[{"given":"Oscar","family":"Jimenez-del-Toro","sequence":"first","affiliation":[]},{"given":"Sebastian","family":"Ot\u00e1lora","sequence":"additional","affiliation":[]},{"given":"Manfredo","family":"Atzori","sequence":"additional","affiliation":[]},{"given":"Henning","family":"M\u00fcller","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,31]]},"reference":[{"issue":"1","key":"17_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijmedinf.2003.11.024","volume":"73","author":"H M\u00fcller","year":"2004","unstructured":"M\u00fcller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A review of content-based image retrieval systems in medicine-clinical benefits and future directions. Int. J. Med. Inform. 73(1), 1\u201323 (2004)","journal-title":"Int. J. Med. Inform."},{"issue":"4","key":"17_CR2","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1109\/TSMCC.2010.2071862","volume":"41","author":"S Begum","year":"2011","unstructured":"Begum, S., Ahmed, M.U., Funk, P., Xiong, N., Folke, M.: Case-based reasoning systems in the health sciences: a survey of recent trends and developments. IEEE Trans. Syst. Man Cybern. 41(4), 421\u2013434 (2011)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"17_CR3","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1186\/1472-6947-11-68","volume":"11","author":"P Welter","year":"2011","unstructured":"Welter, P., Deserno, T.M., Fischer, B., G\u00fcnther, R.W., Spreckelsen, C.: Towards case-based medical learning in radiological decision making using content-based image retrieval. BMC Med. Inform. Decis. Making 11, 68 (2011)","journal-title":"BMC Med. Inform. Decis. Making"},{"key":"17_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/978-3-319-24471-6_10","volume-title":"Multimodal Retrieval in the Medical Domain","author":"OA Jim\u00e9nez-del-Toro","year":"2015","unstructured":"Jim\u00e9nez-del-Toro, O.A., Hanbury, A., Langs, G., Foncubierta-Rodr\u00edguez, A., M\u00fcller, H.: Overview of the VISCERAL retrieval benchmark 2015. In: M\u00fcller, H., Jimenez del Toro, O.A., Hanbury, A., Langs, G., Foncubierta Rodriguez, A. (eds.) MRMD 2015. LNCS, vol. 9059, pp. 115\u2013123. Springer, Cham (2015). doi: 10.1007\/978-3-319-24471-6_10"},{"key":"17_CR5","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.jbi.2014.04.016","volume":"51","author":"JC Caicedo","year":"2014","unstructured":"Caicedo, J.C., Vanegas, J.A., P\u00e1ez, F., Gonz\u00e1lez, F.A.: Histology image search using multimodal fusion. J. Biomed. Inform. 51, 114\u2013128 (2014)","journal-title":"J. Biomed. Inform."},{"issue":"2","key":"17_CR6","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1109\/TMI.2014.2361481","volume":"34","author":"X Zhang","year":"2015","unstructured":"Zhang, X., Liu, W., Dundar, M., Badve, S., Zhang, S.: Towards large-scale histopathological image analysis: hashing-based image retrieval. IEEE Trans. Med. Imaging 34(2), 496\u2013506 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"17_CR7","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1186\/s12859-016-1086-6","volume":"17","author":"JT Kwak","year":"2016","unstructured":"Kwak, J.T., Hewitt, S.M., Kajdacsy-Balla, A.A., Sinha, S., Bhargava, R.: Automated prostate tissue referencing for cancer detection and diagnosis. BMC Bioinform. 17(1), 227 (2016)","journal-title":"BMC Bioinform."},{"issue":"8","key":"17_CR8","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1016\/j.humpath.2009.04.006","volume":"40","author":"RS Weinstein","year":"2009","unstructured":"Weinstein, R.S., Graham, A.R., Richter, L.C., Barker, G.P., Krupinski, E.A., Lopez, A.M., Erps, K.A., Bhattacharyya, A.K., Yagi, Y., Gilbertson, J.R.: Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future. Hum. Pathol. 40(8), 1057\u20131069 (2009)","journal-title":"Hum. Pathol."},{"key":"17_CR9","unstructured":"Doyle, S., Hwang, M., Naik, S., Feldman, M., Tomaszeweski, J., Madabhushi, A.: Using manifold learning for content-based image retrieval of prostate histopathology. In: MICCAI 2007 Workshop on Content-based Image Retrieval for Biomedical Image Archives: Achievements, Problems, and Prospects, pp. 53\u201362. Citeseer (2007)"},{"key":"17_CR10","unstructured":"Krizhevsky, A., Hinton, G.E.: Using very deep autoencoders for content-based image retrieval. In: ESANN (2011)"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Wu, P., Hoi, S.C., Xia, H., Zhao, P., Wang, D., Miao, C.: Online multimodal deep similarity learning with application to image retrieval. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 153\u2013162. ACM (2013)","DOI":"10.1145\/2502081.2502112"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Wan, J., Wang, D., Hoi, S.C.H., Wu, P., Zhu, J., Zhang, Y., Li, J.: Deep learning for content-based image retrieval: a comprehensive study. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 157\u2013166. ACM (2014)","DOI":"10.1145\/2647868.2654948"},{"issue":"6","key":"17_CR13","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1136\/amiajnl-2012-001469","volume":"20","author":"DA Gutman","year":"2013","unstructured":"Gutman, D.A., Cobb, J., Somanna, D., Park, Y., Wang, F., Kurc, T., Saltz, J.H., Brat, D.J., Cooper, L.A.D., Kong, J.: Cancer digital slide archive: an informatics resource to support integrated in silico analysis of TCGA pathology data. J. Am. Med. Inform. Assoc. 20(6), 1091\u20131098 (2013)","journal-title":"J. Am. Med. Inform. Assoc."},{"issue":"5","key":"17_CR14","doi-asserted-by":"crossref","first-page":"E359","DOI":"10.1002\/ijc.29210","volume":"136","author":"J Ferlay","year":"2015","unstructured":"Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D.M., Forman, D., Bray, F.: Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int. J. Cancer 136(5), E359\u2013E386 (2015)","journal-title":"Int. J. Cancer"},{"issue":"3","key":"17_CR15","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1038\/modpathol.3800054","volume":"17","author":"PA Humphrey","year":"2004","unstructured":"Humphrey, P.A.: Gleason grading and prognostic factors in carcinoma of the prostate. Mod. Pathol. 17(3), 292\u2013306 (2004)","journal-title":"Mod. Pathol."},{"issue":"7553","key":"17_CR16","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":"17_CR17","doi-asserted-by":"crossref","unstructured":"Jimenez-del-Toro, O., Atzori, M., Ot\u00e1lora, S., Andersson, M., Eur\u00e9n, K., Hedlund, M., R\u00f6nnquist, P., M\u00fcller, H.: Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade gleason score. In: SPIE Medical Imaging. International Society for Optics and Photonics (2017)","DOI":"10.1117\/12.2255710"},{"key":"17_CR18","unstructured":"Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents. In: ICML, vol. 14, pp. 1188\u20131196 (2014)"},{"key":"17_CR19","doi-asserted-by":"crossref","unstructured":"Voorhees, E.M., Ellis, A. (eds.): Proceedings of The Twenty-Fourth Text REtrieval Conference, TREC 2015, Gaithersburg, Maryland, USA, 17\u201320 November 2015, vol. Special Publication 500\u2013319. National Institute of Standards and Technology (NIST) (2015)","DOI":"10.6028\/NIST.SP.500-319"}],"container-title":["Lecture Notes in Computer Science","Patch-Based Techniques in Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67434-6_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T15:31:05Z","timestamp":1719415865000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-67434-6_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319674339","9783319674346"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67434-6_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}