{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:47:28Z","timestamp":1730231248191,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10448100","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"1551-1555","source":"Crossref","is-referenced-by-count":0,"title":["Learning Hybrid Negative Probability Model for Weakly-Supervised Whole Slide Image Recognition"],"prefix":"10.1109","author":[{"given":"Yining","family":"Qiu","sequence":"first","affiliation":[{"name":"Fudan University,School of Computer Science, Shanghai Key Laboratory of Data Science,China"}]},{"given":"Yuxi","family":"Li","sequence":"additional","affiliation":[{"name":"Tencent Youtu Lab,China"}]},{"given":"Jiafu","family":"Wu","sequence":"additional","affiliation":[{"name":"Fudan University,School of Computer Science, Shanghai Key Laboratory of Data Science,China"}]},{"given":"Zhenye","family":"Gan","sequence":"additional","affiliation":[{"name":"Tencent Youtu Lab,China"}]},{"given":"Mingmin","family":"Chi","sequence":"additional","affiliation":[{"name":"Fudan University,School of Computer Science, Shanghai Key Laboratory of Data Science,China"}]},{"given":"Yabiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang University,China"}]},{"given":"Chengjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Tencent Youtu Lab,China"}]},{"given":"Pei","family":"Wang","sequence":"additional","affiliation":[{"name":"NAOC CAS,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3040269"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/path.5388"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10121-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01899"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01824"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01825"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07259-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747899"},{"key":"ref11","article-title":"Multi-instance learning: A survey","volume":"1","author":"Zhou","year":"2004","journal-title":"Department of Computer Science & Technology, Nanjing University, Tech. Rep"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01409"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104253"},{"key":"ref14","first-page":"2136","article-title":"Transmil: Transformer based correlated multiple instance learning for whole slide image classification","volume":"34","author":"Shao","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.009"},{"article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","year":"2016","author":"Hendrycks","key":"ref16"},{"article-title":"Deep anomaly detection with outlier exposure","year":"2018","author":"Hendrycks","key":"ref17"},{"key":"ref18","first-page":"2127","article-title":"Attention-based deep multiple instance learning","author":"Ilse","year":"2018","journal-title":"ICML"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.14585"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16434-7_3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00682-w"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0508-1"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2024,4,14]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10448100.pdf?arnumber=10448100","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T06:45:39Z","timestamp":1722581139000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10448100\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10448100","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}