{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:37:35Z","timestamp":1772725055260,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFF1207500"],"award-info":[{"award-number":["2024YFF1207500"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82203193"],"award-info":[{"award-number":["82203193"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Education Commission Project for Promoting Research Paradigm Reform and Empowering Disciplinary Advancement through Artificial Intelligence","award":["SOF101020"],"award-info":[{"award-number":["SOF101020"]}]},{"DOI":"10.13039\/501100012326","name":"International Science and Technology Cooperation Program through the 2023 Shanghai Action Plan for Science","doi-asserted-by":"publisher","award":["23410710400"],"award-info":[{"award-number":["23410710400"]}],"id":[{"id":"10.13039\/501100012326","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tmi.2025.3589456","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T17:42:32Z","timestamp":1752601352000},"page":"5245-5257","source":"Crossref","is-referenced-by-count":3,"title":["Robust Polyp Detection and Diagnosis Through Compositional Prompt-Guided Diffusion Models"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-9135-7602","authenticated-orcid":false,"given":"Jia","family":"Yu","sequence":"first","affiliation":[{"name":"School of Software Technology, Zhejiang University, Hangzhou, China"}]},{"given":"Yan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China"}]},{"given":"Peiyao","family":"Fu","sequence":"additional","affiliation":[{"name":"Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China"}]},{"given":"Tianyi","family":"Chen","sequence":"additional","affiliation":[{"name":"Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China"}]},{"given":"Junbo","family":"Huang","sequence":"additional","affiliation":[{"name":"Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China"}]},{"given":"Quanlin","family":"Li","sequence":"additional","affiliation":[{"name":"Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China"}]},{"given":"Pinghong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1593-1321","authenticated-orcid":false,"given":"Zhihua","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Institute for Advanced Study, Zhejiang University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2139-8807","authenticated-orcid":false,"given":"Fei","family":"Wu","sequence":"additional","affiliation":[{"name":"Shanghai Institute for Advanced Study, Zhejiang University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2947-8783","authenticated-orcid":false,"given":"Shuo","family":"Wang","sequence":"additional","affiliation":[{"name":"Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1496-8923","authenticated-orcid":false,"given":"Xian","family":"Yang","sequence":"additional","affiliation":[{"name":"Alliance Manchester Business School, The University of Manchester, Manchester, U.K."}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa055498"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cgh.2010.09.013"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2018.06.037"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-41974-4"},{"key":"ref6","article-title":"Knowledge extraction and distillation from large-scale image-text colonoscopy records leveraging large language and vision models","volume-title":"arXiv:2310.11173","author":"Wang","year":"2023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-01981-y"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-26216-9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.013"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref11","first-page":"8780","article-title":"Diffusion models beat gans on image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Dhariwal"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102846"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-53767-7_10"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43895-0_32"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-80136-5_7"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-023-00844-7"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72111-3_24"},{"key":"ref18","article-title":"Controllable generation with text-to-image diffusion models: A survey","volume-title":"arXiv:2403.04279","author":"Cao","year":"2024"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01123"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681170"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2872717"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ASPCON49795.2020.9276732"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103491"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9434050"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-04247-y"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3592571.3592978"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00238"},{"key":"ref28","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"139","author":"Radford"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref30","article-title":"Classifier-free diffusion guidance","volume-title":"arXiv:2207.12598","author":"Ho","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3367329"},{"key":"ref32","article-title":"Do generated data always help contrastive learning?","volume-title":"arXiv:2403.12448","author":"Wang","year":"2024"},{"key":"ref33","first-page":"66426","article-title":"On the connection between pre-training data diversity and fine-tuning robustness","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Ramanujan"},{"key":"ref34","first-page":"32568","article-title":"Improved fine-tuning by better leveraging pre-training data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Liu"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103298"},{"key":"ref36","article-title":"Denoising diffusion implicit models","volume-title":"arXiv:2010.02502","author":"Song","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-013-0926-3"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2015.02.007"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2487997"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4037190"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37734-2_37"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.00368"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.26599\/air.2023.9150015"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00616"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref46","first-page":"14663","article-title":"Bridging the gap between vision transformers and convolutional neural networks on small datasets","volume-title":"Proc. 35st Conf. Neural Inf. Process. Syst.","volume":"35","author":"Lu"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref49","volume-title":"Smote for Imbalanced Classification with Python","author":"Satpathy","year":"2023"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1038\/s41568-021-00408-3"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11279972\/11080481.pdf?arnumber=11080481","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T18:40:58Z","timestamp":1765219258000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11080481\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":50,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2025.3589456","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}