{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T10:47:34Z","timestamp":1769856454087,"version":"3.49.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFA0701700"],"award-info":[{"award-number":["2018YFA0701700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFE0203700"],"award-info":[{"award-number":["2021YFE0203700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","award":["SJCX22_1106"],"award-info":[{"award-number":["SJCX22_1106"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20521"],"award-info":[{"award-number":["U21A20521"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271178"],"award-info":[{"award-number":["62271178"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LR23F010002"],"award-info":[{"award-number":["LR23F010002"]}]},{"name":"Jiangsu Provincial Maternal and Child Health Research Project","award":["F202034"],"award-info":[{"award-number":["F202034"]}]},{"name":"Wuxi Health Commission Precision Medicine Project","award":["J202106"],"award-info":[{"award-number":["J202106"]}]},{"name":"Jiangsu Provincial Six Talent Peaks Project","award":["YY-124"],"award-info":[{"award-number":["YY-124"]}]},{"name":"Construction Project of Shanghai Key Laboratory of Molecular Imaging","award":["18DZ2260400"],"award-info":[{"award-number":["18DZ2260400"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tmi.2024.3420804","type":"journal-article","created":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T18:39:13Z","timestamp":1719599953000},"page":"4393-4403","source":"Crossref","is-referenced-by-count":4,"title":["DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4453-3840","authenticated-orcid":false,"given":"Jiansong","family":"Fan","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"}]},{"given":"Tianxu","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9343-6316","authenticated-orcid":false,"given":"Pei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"}]},{"given":"Xiaoyan","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"}]},{"given":"Yuan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"}]},{"given":"Chunjuan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China"}]},{"given":"Jianming","family":"Ni","sequence":"additional","affiliation":[{"name":"Department of Radiology, Jiangnan University Medical Center, Wuxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0435-6453","authenticated-orcid":false,"given":"Lihua","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Engineering and Instrumentation, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6554-1404","authenticated-orcid":false,"given":"Xiang","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/PAP.0b013e318253459e"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3019563"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4103\/2153-3539.83746"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2217\/iim.09.9"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISBIC56247.2022.9854527"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3273236"},{"key":"ref7","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-023-01056-8"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02077"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102572"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3231744"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_58"},{"key":"ref16","first-page":"1545","article-title":"Weakly supervised object recognition with convolutional neural networks","volume-title":"Proc. NIPS","author":"Oquab"},{"key":"ref17","article-title":"Fully convolutional multi-class multiple instance learning","author":"Pathak","year":"2014","journal-title":"arXiv:1412.7144"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298780"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103124"},{"key":"ref20","article-title":"Attention-challenging multiple instance learning for whole slide image classification","author":"Zhang","year":"2023","journal-title":"arXiv:2311.07125"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2936841"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.9.2.50"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0508-1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00682-w"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-20-4119"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87240-3_72"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s43018-022-00416-8"},{"key":"ref28","first-page":"2127","article-title":"Attention-based deep multiple instance learning","volume-title":"Proc. Mach. Learn. Res.","volume":"80","author":"Ilse"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01824"},{"key":"ref31","first-page":"2136","article-title":"TransMIL: Transformer based correlated multiple instance learning for whole slide image classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Shao"},{"key":"ref32","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nichol"},{"key":"ref33","first-page":"21696","article-title":"Variational diffusion models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Kingma"},{"key":"ref34","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"ref36","first-page":"8857","article-title":"Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Rasul"},{"key":"ref37","first-page":"4328","article-title":"Diffusion-LM improves controllable text generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Li"},{"key":"ref38","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. NIPS","volume":"34","author":"Dhariwal"},{"key":"ref39","article-title":"Score-based generative classifiers","author":"Zimmermann","year":"2021","journal-title":"arXiv:2110.00473"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01816"},{"key":"ref42","article-title":"SegDiff: Image segmentation with diffusion probabilistic models","author":"Amit","year":"2021","journal-title":"arXiv:2112.00390"},{"key":"ref43","article-title":"Label-efficient semantic segmentation with diffusion models","author":"Baranchuk","year":"2021","journal-title":"arXiv:2112.03126"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00357"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3062772"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.14585"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01409"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_59"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/176"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01567"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/10772323\/10577168.pdf?arnumber=10577168","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T19:00:21Z","timestamp":1733252421000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10577168\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":50,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2024.3420804","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}