{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T21:34:19Z","timestamp":1778535259469,"version":"3.51.4"},"reference-count":79,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176081"],"award-info":[{"award-number":["62176081"]}],"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":["U23A20294"],"award-info":[{"award-number":["U23A20294"]}],"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":["62171176"],"award-info":[{"award-number":["62171176"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017610","name":"Science and Technology Innovation Key Research and Development Program of Chongqing","doi-asserted-by":"publisher","award":["CSTB2022TIAD-KPX0039"],"award-info":[{"award-number":["CSTB2022TIAD-KPX0039"]}],"id":[{"id":"10.13039\/501100017610","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2024.3413130","type":"journal-article","created":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T17:34:59Z","timestamp":1718213699000},"page":"16-31","source":"Crossref","is-referenced-by-count":45,"title":["TransSea: Hybrid CNN\u2013Transformer With Semantic Awareness for 3-D Brain Tumor Segmentation"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2211-3535","authenticated-orcid":false,"given":"Yu","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering and Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3221-7022","authenticated-orcid":false,"given":"Yize","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering and Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3883-2529","authenticated-orcid":false,"given":"Zhiqin","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1206-1698","authenticated-orcid":false,"given":"Juan","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering and Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4922-8116","authenticated-orcid":false,"given":"Xun","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-09214-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.09.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59719-1_42"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_28"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref8","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018","journal-title":"arXiv:1804.03999"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1606.04797"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref12","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_11"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref15","article-title":"Vision transformer for small-size datasets","author":"Lee","year":"2021","journal-title":"arXiv:2112.13492"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2102.04306"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/112"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2878669"},{"key":"ref21","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. NIPS","author":"Xie"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413757"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW54805.2022.00064"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_21"},{"key":"ref25","first-page":"131","article-title":"3D U-Net based brain tumor segmentation and survival days prediction","volume-title":"Proc. Int. MICCAI Brainlesion Workshop","author":"Feifan"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3184360"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/noz106"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(19)30098-1"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2011.10.022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3332340"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3293887"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959609"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3294179"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-023-01854-6"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102395"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.1000587"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13050872"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01181"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-08999-2_22"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00089"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/j.inffus.2022.10.022","article-title":"Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI","volume":"91","author":"Zhu","year":"2023","journal-title":"Inf. Fusion"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01186"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00747"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00714"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00710"},{"key":"ref47","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.111348","article-title":"DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation","volume":"285","author":"Feng","year":"2024","journal-title":"Knowl.-Based Syst."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2022.103784"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00083"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053405"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00680"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2967597"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.21037\/qims-21-919"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00320"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.189"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01243"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3298657"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00353"},{"key":"ref61","article-title":"High frequency residual learning for multi-scale image classification","author":"Cheng","year":"2019","journal-title":"arXiv:1905.02649"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.10.001"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci12060797"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16443-9_16"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16443-9_14"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3214999"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119166"},{"key":"ref69","doi-asserted-by":"crossref","DOI":"10.1016\/j.rineng.2024.101892","article-title":"3DUV-NetR+: A 3D hybrid semantic architecture using transformers for brain tumor segmentation with MultiModal MR images","volume":"21","author":"Aboussaleh","year":"2024","journal-title":"Results Eng."},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72087-2_11"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_21"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02007"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI52829.2022.9761417"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3250474"},{"key":"ref75","first-page":"799","article-title":"3D medical axial transformer: A lightweight transformer model for 3D brain tumor segmentation","volume-title":"Proc. Med. Imag. With Deep Learn.","author":"Liu"},{"key":"ref76","article-title":"The RSNA-ASNR-MICCAI BraTS 2021 benchmark on brain tumor segmentation and radiogenomic classification","author":"Baid","year":"2021","journal-title":"arXiv:2107.02314"},{"key":"ref77","article-title":"Diffusion models for memory-efficient processing of 3D medical images","author":"Bieder","year":"2023","journal-title":"arXiv:2303.15288"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106054"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103861"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10367905\/10555375.pdf?arnumber=10555375","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T05:01:53Z","timestamp":1719378113000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10555375\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":79,"URL":"https:\/\/doi.org\/10.1109\/tim.2024.3413130","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}