{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T12:45:08Z","timestamp":1730292308142,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"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","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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,24]]},"DOI":"10.1109\/rcar61438.2024.10671380","type":"proceedings-article","created":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T17:36:25Z","timestamp":1726248985000},"page":"212-216","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Deep Learning Approach for Precise Myocardial Segmentation Using Attention Mechanisms"],"prefix":"10.1109","author":[{"given":"Yuhan","family":"Ying","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences,State Key Laboratory of Robotics, Shenyang Institute of Automation,Shenyang,China,110016"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiwen","family":"Zhao","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,State Key Laboratory of Robotics, Shenyang Institute of Automation,Shenyang,China,110016"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"XinGang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,State Key Laboratory of Robotics, Shenyang Institute of Automation,Shenyang,China,110016"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dandan","family":"Sun","sequence":"additional","affiliation":[{"name":"The People's Hospital of China Medical University, The People’s Hospital of Liaoning Province,Department of Ultrasound and Shenyang Clinical Medical Research Center for Ultrasound,Shenyang,China,110016"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingyu","family":"Fang","sequence":"additional","affiliation":[{"name":"The People's Hospital of China Medical University, The People’s Hospital of Liaoning Province,Department of Ultrasound and Shenyang Clinical Medical Research Center for Ultrasound,Shenyang,China,110016"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andi","family":"Li","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,State Key Laboratory of Robotics, Shenyang Institute of Automation,Shenyang,China,110016"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Gao","sequence":"additional","affiliation":[{"name":"Shenyang Ligong University,Shenyang,China,110159"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoli","family":"Song","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,State Key Laboratory of Robotics, Shenyang Institute of Automation,Shenyang,China,110016"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2022.3146013"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102532"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106012"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106227"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105910"},{"key":"ref6","article-title":"An efficient image segmentation method for skin cancer imaging using improved goldenjackal optimization algorithm","volume-title":"COMPUTERS IN BIOLOGY AND MEDICINE","volume":"149","author":"Houssein","year":"2022"},{"issue":"11","key":"ref7","article-title":"Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information","volume-title":"BIOMOLECULES","volume":"10","author":"Dozen","year":"2020"},{"key":"ref8","article-title":"Echocardiography-based AI detection of regional wall motion abnormalities and quantification of cardiac function in myocardial infarction","volume-title":"FRONTIERS IN CARDIOVASCULAR MEDICINE","volume":"9","author":"Lin","year":"2022"},{"key":"ref9","article-title":"A Heart Segmentation Algorithm Based on Dynamic Ultrasound","volume-title":"BIOMED RESEARCH INTERNATIONAL","volume":"2022","author":"Tian","year":"2022"},{"key":"ref10","article-title":"Topology-sensitive weighting model for myocardial segmentation","volume-title":"COMPUTERS IN BIOLOGY AND MEDICINE","volume":"165","author":"Sun","year":"2023"},{"issue":"5","key":"ref11","first-page":"449","article-title":"Normal Values of Left Ventricular Size and Function on Three-Dimensional Echocardiography: Results of the World Alliance Societies of Echocardiography Study","volume-title":"JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY","volume":"35","author":"Addetia","year":"2022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"article-title":"Pyramid Scene Parsing Network 30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION","volume-title":"CVPR 2017","author":"Zhao","key":"ref13"},{"key":"ref14","first-page":"179656","article-title":"MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation","volume-title":"IEEE ACCESS","volume":"8","author":"Fan","year":"2020"},{"article-title":"Rethinking atrous convolution for semantic image segmentation","year":"2017","author":"Chen","key":"ref15"}],"event":{"name":"2024 IEEE International Conference on Real-time Computing and Robotics (RCAR)","start":{"date-parts":[[2024,6,24]]},"location":"Alesund, Norway","end":{"date-parts":[[2024,6,28]]}},"container-title":["2024 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10670697\/10670719\/10671380.pdf?arnumber=10671380","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T06:26:52Z","timestamp":1726295212000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10671380\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,24]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/rcar61438.2024.10671380","relation":{},"subject":[],"published":{"date-parts":[[2024,6,24]]}}}