{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:48:23Z","timestamp":1781884103290,"version":"3.54.5"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["LH2021F046"],"award-info":[{"award-number":["LH2021F046"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1109\/tmi.2024.3381994","type":"journal-article","created":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T20:18:06Z","timestamp":1711484286000},"page":"2888-2900","source":"Crossref","is-referenced-by-count":22,"title":["Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6235-4371","authenticated-orcid":false,"given":"Mingxin","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Heilongjiang University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0207-0298","authenticated-orcid":false,"given":"Yunzan","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Heilongjiang University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7996-5175","authenticated-orcid":false,"given":"Pengbo","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Heilongjiang University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8224-4698","authenticated-orcid":false,"given":"Hui","family":"Cui","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7459-257X","authenticated-orcid":false,"given":"Jing","family":"Ke","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3072-7799","authenticated-orcid":false,"given":"Jiquan","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Heilongjiang University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3322\/canjclin.52.1.8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00027"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108827"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727519"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.4.4.044504"},{"key":"ref7","article-title":"Cancer metastasis detection with neural conditional random field","author":"Li","year":"2018","journal-title":"arXiv:1806.07064"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3099817"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105437"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.75"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00936"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102802"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.105534"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43987-2_58"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2022.925903"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-43172-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107520"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00801"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3153671"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77211-6_2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002730"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105207"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3198526"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM52615.2021.9669476"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102183"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101914"},{"key":"ref28","first-page":"159","article-title":"Smile: Sparse-attention based multiple instance contrastive learning for glioma sub-type classification using pathological images","volume-title":"Proc. MICCAI Workshop Comput. Pathol.","author":"Lu"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2022.858453"},{"key":"ref30","article-title":"Unleashing the infinity power of geometry: A novel geometry-aware transformer (GOAT) for whole slide histopathology image analysis","author":"Liu","year":"2024","journal-title":"arXiv:2402.05373"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41379-020-0640-y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2020.2485"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3273236"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2230186"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2948026"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01567"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM58861.2023.10385897"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bth933"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1117\/12.2550114"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60365-6_20"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3176598"},{"key":"ref43","article-title":"An image is worth 16\u271716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-12670-0"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICICIS52592.2021.9694125"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00049"},{"key":"ref49","first-page":"1","article-title":"Convolutional networks on graphs for learning molecular fingerprints","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Duvenaud"},{"key":"ref50","article-title":"Gated graph sequence neural networks","author":"Li","year":"2015","journal-title":"arXiv:1511.05493"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.189"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01166"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-022-0274-8"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref55","article-title":"Layer normalization","author":"Ba","year":"2016","journal-title":"arXiv:1607.06450"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3206148"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_27"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00050"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3199110"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref62","first-page":"1","article-title":"UniFormer: Unified transformer for efficient spatial\u2013temporal representation learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li"},{"issue":"11","key":"ref63","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref64","volume-title":"Openmmlab\u2019s Pre-training Toolbox and Benchmark","author":"Contributors","year":"2023"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3248559"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2023.02.018"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref68","first-page":"1","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Hamilton"},{"key":"ref69","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018","journal-title":"arXiv:1810.00826"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10619995\/10479483.pdf?arnumber=10479483","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T04:46:36Z","timestamp":1722660396000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10479483\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":69,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2024.3381994","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8]]}}}