{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T01:16:16Z","timestamp":1780449376609,"version":"3.54.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100006209","name":"Radboud Universitair Medisch Centrum","doi-asserted-by":"publisher","award":["Radboud Institute of Health Sciences Junior Resear"],"award-info":[{"award-number":["Radboud Institute of Health Sciences Junior Resear"]}],"id":[{"id":"10.13039\/501100006209","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004622","name":"KWF Kankerbestrijding","doi-asserted-by":"publisher","award":["KUN 2014-7032"],"award-info":[{"award-number":["KUN 2014-7032"]}],"id":[{"id":"10.13039\/501100004622","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004622","name":"KWF Kankerbestrijding","doi-asserted-by":"publisher","award":["KUN 2015-7970"],"award-info":[{"award-number":["KUN 2015-7970"]}],"id":[{"id":"10.13039\/501100004622","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["825292"],"award-info":[{"award-number":["825292"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021,2,1]]},"DOI":"10.1109\/tpami.2019.2936841","type":"journal-article","created":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T20:36:10Z","timestamp":1566506170000},"page":"567-578","source":"Crossref","is-referenced-by-count":191,"title":["Neural Image Compression for Gigapixel Histopathology Image Analysis"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8500-2491","authenticated-orcid":false,"given":"David","family":"Tellez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1554-1291","authenticated-orcid":false,"given":"Geert","family":"Litjens","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7982-0754","authenticated-orcid":false,"given":"Jeroen","family":"van der Laak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Ciompi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319008"},{"key":"ref38","article-title":"Overview of the Image CLEF 2018 medical domain visual question answering task","author":"hasan","year":"2018","journal-title":"Proc Working Notes Conf Labs Eval Forum"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950492"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-10-1282"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/ng.2764"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.274"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2007.356788"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2007.898536"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.08.027"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.266"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_12"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0177-5"},{"key":"ref12","article-title":"Convolutional networks","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref13","article-title":"Lossy image compression with compressive autoencoders","author":"theis","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref14","article-title":"Adversarial feature learning","author":"donahue","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref15","article-title":"Adversarially learned inference","author":"dumoulin","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref16","article-title":"Representation learning with contrastive predictive coding","author":"van den oord","year":"2018","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref17","first-page":"6306","article-title":"Neural discrete representation learning","author":"van den oord","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref18","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref19","article-title":"Siamese neural networks for one-shot image recognition","volume":"2","author":"koch","year":"2015","journal-title":"Proc ICML Deep Learn Workshop"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950590"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.14585"},{"key":"ref27","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.02.012"},{"key":"ref6","article-title":"Weakly supervised learning for whole slide lung cancer image classification","author":"wang","year":"2018","journal-title":"Med Imag Deep Learn"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.08.008"},{"key":"ref8","article-title":"Monte-Carlo sampling applied to multiple instance learning for whole slide image classification","author":"combalia","year":"2018","journal-title":"Med Imag Deep Learn"},{"key":"ref7","first-page":"2132","article-title":"Attention-based deep multiple instance learning","author":"ilse","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2540798"},{"key":"ref9","article-title":"Histopathological classification of precursor lesions of esophageal adenocarcinoma: A deep multiple instance learning approach","author":"tomczak","year":"2018","journal-title":"Med Imag Deep Learn"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899663"},{"key":"ref45","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref22","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref21","first-page":"3765","article-title":"Unsupervised feature extraction by time-contrastive learning and nonlinear ICA","author":"hyvarinen","year":"2016","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_9"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref23","first-page":"2180","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","author":"chen","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref44","article-title":"Training deep nets with sublinear memory cost","author":"chen","year":"2016","journal-title":"arXiv 1604 06174"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2820199"},{"key":"ref43","article-title":"Learn to pay attention","author":"jetley","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref25","article-title":"Gigapixel whole-slide image classification using unsupervised image compression and contrastive training","author":"tellez","year":"2018","journal-title":"Med Imag Deep Learn"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9317867\/08809829.pdf?arnumber=8809829","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:20Z","timestamp":1652194160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8809829\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":45,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2019.2936841","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,1]]}}}