{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T19:29:30Z","timestamp":1780601370449,"version":"3.54.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2016,5,1]],"date-time":"2016-05-01T00:00:00Z","timestamp":1462060800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2016,5]]},"DOI":"10.1109\/tmi.2016.2528120","type":"journal-article","created":{"date-parts":[[2016,2,12]],"date-time":"2016-02-12T03:32:31Z","timestamp":1455247951000},"page":"1313-1321","source":"Crossref","is-referenced-by-count":494,"title":["AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images"],"prefix":"10.1109","volume":"35","author":[{"given":"Shadi","family":"Albarqouni","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christoph","family":"Baur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix","family":"Achilles","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vasileios","family":"Belagiannis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefanie","family":"Demirci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nassir","family":"Navab","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","first-page":"1809","article-title":"Ranking annotators for crowdsourced labeling tasks","author":"raykar","year":"2011","journal-title":"Adv Neural Inf Proc Sys"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2009.5193250"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2014.11.010"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_3"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2567989"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772843"},{"key":"ref35","first-page":"2035","article-title":"Whose vote should count more: Optimal integration of labels from labelers of unknown expertise","author":"whitehill","year":"2009","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-015-1217-y"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1089\/g4h.2012.0054"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2015.160"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2390803.2390808"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.3761"},{"key":"ref15","article-title":"Truth is a lie: Crowd truth and the seven myths of human annotation","volume":"36","author":"aroyo","year":"2015","journal-title":"AI Mag"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401965"},{"key":"ref17","first-page":"1","article-title":"An evaluation of aggregation techniques in crowdsourcing","author":"hung","year":"2013","journal-title":"Proc Web Inf Syst Eng"},{"key":"ref18","first-page":"1297","article-title":"Learning from crowds","volume":"11","author":"raykar","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref28","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/science.1160379"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2169273"},{"key":"ref3","article-title":"Un(der)paid innovators: The commercial utilization of consumer work through crowdsourcing","volume":"4","author":"kleemann","year":"2008","journal-title":"STI Studies"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11915-1_31"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-002-0173-7"},{"key":"ref5","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Adv Neural Inf Proc Sys"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.2513"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2006.196"},{"key":"ref2","first-page":"1","article-title":"The rise of crowdsourcing","volume":"14","author":"howe","year":"2006","journal-title":"Wired Mag"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10470-6_44"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/0165551512437638"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.324"},{"key":"ref21","first-page":"3431","article-title":"Fully convolutional networks for semantic segmentation","author":"long","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1007\/978-3-319-24574-4_43","article-title":"Beyond classification: Structured regression for robust cell detection using convolutional neural network","author":"xie","year":"2015","journal-title":"Medical Image Computing and Comput -Assisted Intervention&#x2014;MICCAI 2015"},{"key":"ref23","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"Adv Neural Inf Proc Syst"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/978-3-642-40763-5_51","article-title":"Mitosis detection in breast cancer histology images with deep neural networks","author":"ciresan","year":"2013","journal-title":"Medical Image Computing and Comput -Assisted Intervention&#x2014;MICCAI 2013"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_42"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/ieeexplore.ieee.org\/iel7\/42\/7463083\/07405343.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/7463083\/07405343.pdf?arnumber=7405343","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:26:31Z","timestamp":1642004791000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7405343\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,5]]},"references-count":38,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2016.2528120","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,5]]}}}