{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T06:08:29Z","timestamp":1782886109984,"version":"3.54.5"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"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":["61773006"],"award-info":[{"award-number":["61773006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Medical-Industrial Intersection Joint Foundation of Liaoning Province","award":["2022-YGJC-14"],"award-info":[{"award-number":["2022-YGJC-14"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/jbhi.2024.3442528","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T17:38:01Z","timestamp":1723570681000},"page":"6725-6737","source":"Crossref","is-referenced-by-count":8,"title":["GKE-TUNet: Geometry-Knowledge Embedded TransUNet Model for Retinal Vessel Segmentation Considering Anatomical Topology"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4581-3221","authenticated-orcid":false,"given":"Yunlong","family":"Qiu","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9023-5521","authenticated-orcid":false,"given":"Haifeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Division of Psychology, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5625-948X","authenticated-orcid":false,"given":"Chonghui","family":"Song","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolong","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0463-2983","authenticated-orcid":false,"given":"Xianbo","family":"Wang","sequence":"additional","affiliation":[{"name":"Hainan Institute of Zhejiang University, Sanya, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"89","article-title":"New methods for the geometrical analysis of tubular organs","volume-title":"Med. Image Anal.","volume":"42","author":"Grlard","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcct.2014.07.003"},{"key":"ref3","first-page":"149","article-title":"Dunet: A deformable network for retinal vessel segmentation","volume-title":"Knowl.-Based Syst.","volume":"178","author":"Jin","year":"2019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSE.2019.8845397"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IMITEC45504.2019.9015858"},{"key":"ref6","article-title":"Frchet pdf based matched filter approach for retinal blood vessels segmentation","volume-title":"Comput. Methods Programs Biomed.","volume":"194","author":"Saroj","year":"2020"},{"issue":"3","key":"ref7","first-page":"397","article-title":"Fovea center detection based on the retina anatomy and mathematical morphology","volume-title":"Comput. Methods Programs Biomed.","volume":"104","author":"Welfer","year":"2011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3011178"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093621"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2983721"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCEAI55464.2022.00106"},{"key":"ref14","article-title":"Transunet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021"},{"key":"ref15","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3081010"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101556"},{"key":"ref18","first-page":"9225","article-title":"Beyond grids: Learning graph representations for visual recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2004.825627"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.08-3018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/42.845178"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2006.879967"},{"key":"ref23","first-page":"24","article-title":"A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction","volume-title":"Med. Image Anal.","volume":"29","author":"Kovcs","year":"2016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959609"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3002985"},{"key":"ref26","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018"},{"key":"ref27","article-title":"SCS-Net: A scale and context sensitive network for retinal vessel segmentation","volume-title":"Med. Image Anal.","volume":"70","author":"Wu","year":"2021"},{"key":"ref28","article-title":"Cs2-net: Deep learning segmentation of curvilinear structures in medical imaging","volume-title":"Med. Image Anal.","volume":"67","author":"Mou","year":"2021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16525-2_4"},{"key":"ref30","article-title":"Bridge-net: Context-involved u-net with patch-based loss weight mapping for retinal blood vessel segmentation","volume-title":"Expert Syst. Appl.","volume":"195","author":"Zhang","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119443"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3182471"},{"key":"ref33","article-title":"ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images","volume-title":"Biomed. Signal Process. Control","volume":"79","author":"Liu","year":"2023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3277946"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3237704"},{"key":"ref36","article-title":"Improving vessel connectivity in retinal vessel segmentation via adversarial learning","volume-title":"Knowl.-Based Syst.","volume":"262","author":"Yuan","year":"2023"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/10745910\/10634761.pdf?arnumber=10634761","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T14:46:48Z","timestamp":1732718808000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10634761\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":36,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2024.3442528","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}