{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T00:21:27Z","timestamp":1779236487305,"version":"3.51.4"},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computerized Medical Imaging and Graphics"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1016\/j.compmedimag.2025.102681","type":"journal-article","created":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T16:02:10Z","timestamp":1766764930000},"page":"102681","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Research on X-ray coronary artery branches instance segmentation and matching task"],"prefix":"10.1016","volume":"128","author":[{"given":"Xiaodong","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3765-1520","authenticated-orcid":false,"given":"Huibin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.compmedimag.2025.102681_b1","series-title":"2024 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)","first-page":"326","article-title":"Towards accurate renal micro-structure segmentation: An assessment of YOLOv8 and mask R-CNN models","author":"Ahmed","year":"2024"},{"issue":"10","key":"10.1016\/j.compmedimag.2025.102681_b2","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1161\/CIRCULATIONAHA.106.618082","article-title":"Coronary artery anomalies: an entity in search of an identity","volume":"115","author":"Angelini","year":"2007","journal-title":"Circulation"},{"key":"10.1016\/j.compmedimag.2025.102681_b3","series-title":"Multivessel coronary artery segmentation and stenosis localisation using ensemble learning","author":"Bilal","year":"2023"},{"key":"10.1016\/j.compmedimag.2025.102681_b4","doi-asserted-by":"crossref","unstructured":"Bolya, D., Zhou, C., Xiao, F., Lee, Y.J., 2019. Yolact: Real-time instance segmentation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 9157\u20139166.","DOI":"10.1109\/ICCV.2019.00925"},{"key":"10.1016\/j.compmedimag.2025.102681_b5","doi-asserted-by":"crossref","unstructured":"Chen, K., Pang, J., Wang, J., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Shi, J., Ouyang, W., et al., 2019. Hybrid task cascade for instance segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 4974\u20134983.","DOI":"10.1109\/CVPR.2019.00511"},{"key":"10.1016\/j.compmedimag.2025.102681_b6","doi-asserted-by":"crossref","unstructured":"Dai, J., Qi, H., Xiong, Y., Li, Y., Zhang, G., Hu, H., Wei, Y., 2017. Deformable convolutional networks. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 764\u2013773.","DOI":"10.1109\/ICCV.2017.89"},{"issue":"7639","key":"10.1016\/j.compmedimag.2025.102681_b7","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1038\/nature21056","article-title":"Dermatologist-level classification of skin cancer with deep neural networks","volume":"542","author":"Esteva","year":"2017","journal-title":"Nature"},{"issue":"22","key":"10.1016\/j.compmedimag.2025.102681_b8","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1001\/jama.2016.17216","article-title":"Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs","volume":"316","author":"Gulshan","year":"2016","journal-title":"Jama"},{"key":"10.1016\/j.compmedimag.2025.102681_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.106546","article-title":"Coronary artery stenosis detection via proposal-shifted spatial-temporal transformer in X-ray angiography","volume":"153","author":"Han","year":"2023","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.compmedimag.2025.102681_b10","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R., 2017. Mask r-cnn. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 2961\u20132969.","DOI":"10.1109\/ICCV.2017.322"},{"key":"10.1016\/j.compmedimag.2025.102681_b11","doi-asserted-by":"crossref","DOI":"10.3389\/fphys.2021.724216","article-title":"A simple method for automatic 3D reconstruction of coronary arteries from X-ray angiography","volume":"12","author":"Hwang","year":"2021","journal-title":"Front. Physiol."},{"key":"10.1016\/j.compmedimag.2025.102681_b12","series-title":"2024 2nd International Conference on Sustainable Computing and Smart Systems","first-page":"1314","article-title":"Advancing underwater trash detection: Harnessing mask R-CNN, YOLOv8, EfficientDet-D0 and YOLACT","author":"Jain","year":"2024"},{"key":"10.1016\/j.compmedimag.2025.102681_b13","series-title":"Ultralytics YOLO (version 8.0.0)","author":"Jocher","year":"2023"},{"key":"10.1016\/j.compmedimag.2025.102681_b14","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1016\/j.procs.2018.08.276","article-title":"An approach to point-to-point reconstruction of 3D structure of coronary arteries from 2D X-ray angiography, based on epipolar constraints","volume":"136","author":"Kalmykova","year":"2018","journal-title":"Procedia Comput. Sci."},{"key":"10.1016\/j.compmedimag.2025.102681_b15","series-title":"Yolov11: An overview of the key architectural enhancements","author":"Khanam","year":"2024"},{"key":"10.1016\/j.compmedimag.2025.102681_b16","series-title":"Mpseg: Multi-phase strategy for coronary artery segmentation","author":"Ku","year":"2023"},{"key":"10.1016\/j.compmedimag.2025.102681_b17","series-title":"Ssass: Semi-supervised approach for stenosis segmentation","author":"Lee","year":"2023"},{"key":"10.1016\/j.compmedimag.2025.102681_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103432","article-title":"AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT","volume":"101","author":"Li","year":"2025","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.compmedimag.2025.102681_b19","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","article-title":"A survey on deep learning in medical image analysis","volume":"42","author":"Litjens","year":"2017","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.compmedimag.2025.102681_b20","series-title":"Yolo-angio: an algorithm for coronary anatomy segmentation","author":"Liu","year":"2023"},{"key":"10.1016\/j.compmedimag.2025.102681_b21","doi-asserted-by":"crossref","unstructured":"Liu, S., Qi, L., Qin, H., Shi, J., Jia, J., 2018. Path aggregation network for instance segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 8759\u20138768.","DOI":"10.1109\/CVPR.2018.00913"},{"issue":"1","key":"10.1016\/j.compmedimag.2025.102681_b22","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1002\/ca.20761","article-title":"The normal and abnormal anatomy of the coronary arteries","volume":"22","author":"Loukas","year":"2009","journal-title":"Clin. Anat.: Off. J. Am. Assoc. Clin. Anat. Br. Assoc. Clin. Anat."},{"key":"10.1016\/j.compmedimag.2025.102681_b23","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/s12265-013-9452-5","article-title":"The clinical anatomy of the coronary arteries","volume":"6","author":"Loukas","year":"2013","journal-title":"J. Cardiovasc. Transl. Res."},{"issue":"10","key":"10.1016\/j.compmedimag.2025.102681_b24","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.cpcardiol.2017.04.005","article-title":"Cardiac imaging in the diagnosis of coronary artery disease","volume":"42","author":"Mangla","year":"2017","journal-title":"Curr. Probl. Cardiol."},{"key":"10.1016\/j.compmedimag.2025.102681_b25","doi-asserted-by":"crossref","unstructured":"Pandey, S., Chen, K.-F., Dam, E.B., 2023. Comprehensive multimodal segmentation in medical imaging: Combining yolov8 with sam and hq-sam models. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 2592\u20132598.","DOI":"10.1109\/ICCVW60793.2023.00273"},{"issue":"1","key":"10.1016\/j.compmedimag.2025.102681_b26","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1038\/s41597-023-02871-z","article-title":"Dataset for automatic region-based coronary artery disease diagnostics using X-ray angiography images","volume":"11","author":"Popov","year":"2024","journal-title":"Sci. Data"},{"key":"10.1016\/j.compmedimag.2025.102681_b27","doi-asserted-by":"crossref","unstructured":"Qi, Y., He, Y., Qi, X., Zhang, Y., Yang, G., 2023. Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 6070\u20136079.","DOI":"10.1109\/ICCV51070.2023.00558"},{"key":"10.1016\/j.compmedimag.2025.102681_b28","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.compmedimag.2025.102681_b29","first-page":"84","article-title":"Comparing YOLOv8 and mask R-CNN for instance segmentation in complex orchard environments","volume":"13","author":"Sapkota","year":"2024","journal-title":"Artif. Intell. Agric."},{"issue":"2","key":"10.1016\/j.compmedimag.2025.102681_b30","first-page":"219","article-title":"The SYNTAX score: an angiographic tool grading the complexity of coronary artery disease","volume":"1","author":"Sianos","year":"2005","journal-title":"EuroIntervention"},{"key":"10.1016\/j.compmedimag.2025.102681_b31","series-title":"2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems","first-page":"1","article-title":"Revolutionizing leather quality assurance through deep learning powered precision in defect detection and segmentation by a comparative analysis of mask RCNN and YOLO v8","author":"Thangakumar","year":"2024"},{"key":"10.1016\/j.compmedimag.2025.102681_b32","series-title":"Yolov12: Attention-centric real-time object detectors","author":"Tian","year":"2025"},{"key":"10.1016\/j.compmedimag.2025.102681_b33","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.compmedimag.2025.102681_b34","series-title":"Labelme: Image polygonal annotation with python","author":"Wada","year":"2025"},{"key":"10.1016\/j.compmedimag.2025.102681_b35","first-page":"107984","article-title":"Yolov10: Real-time end-to-end object detection","volume":"37","author":"Wang","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.compmedimag.2025.102681_b36","series-title":"Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XVIII 16","first-page":"649","article-title":"Solo: Segmenting objects by locations","author":"Wang","year":"2020"},{"key":"10.1016\/j.compmedimag.2025.102681_b37","series-title":"European Conference on Computer Vision","first-page":"1","article-title":"Yolov9: Learning what you want to learn using programmable gradient information","author":"Wang","year":"2024"},{"key":"10.1016\/j.compmedimag.2025.102681_b38","doi-asserted-by":"crossref","unstructured":"Xie, E., Sun, P., Song, X., Wang, W., Liu, X., Liang, D., Shen, C., Luo, P., 2020. Polarmask: Single shot instance segmentation with polar representation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 12193\u201312202.","DOI":"10.1109\/CVPR42600.2020.01221"},{"issue":"7","key":"10.1016\/j.compmedimag.2025.102681_b39","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1109\/TIP.2009.2017363","article-title":"Novel approach for 3-D reconstruction of coronary arteries from two uncalibrated angiographic images","volume":"18","author":"Yang","year":"2009","journal-title":"Ieee Trans. Image Process."},{"issue":"8","key":"10.1016\/j.compmedimag.2025.102681_b40","doi-asserted-by":"crossref","first-page":"1643","DOI":"10.3390\/agriculture13081643","article-title":"Improved YOLOv8-Seg network for instance segmentation of healthy and diseased tomato plants in the growth stage","volume":"13","author":"Yue","year":"2023","journal-title":"Agriculture"},{"key":"10.1016\/j.compmedimag.2025.102681_b41","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2024.105190","article-title":"LDConv: Linear deformable convolution for improving convolutional neural networks","volume":"149","author":"Zhang","year":"2024","journal-title":"Image Vis. Comput."},{"issue":"1","key":"10.1016\/j.compmedimag.2025.102681_b42","article-title":"Three-dimensional reconstruction of coronary arteries and its application in localization of coronary artery segments corresponding to myocardial segments identified by transthoracic echocardiography","volume":"2013","author":"Zhong","year":"2013","journal-title":"Comput. Math. Methods Med."}],"container-title":["Computerized Medical Imaging and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611125001909?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611125001909?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T12:33:01Z","timestamp":1771417981000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0895611125001909"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":42,"alternative-id":["S0895611125001909"],"URL":"https:\/\/doi.org\/10.1016\/j.compmedimag.2025.102681","relation":{},"ISSN":["0895-6111"],"issn-type":[{"value":"0895-6111","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Research on X-ray coronary artery branches instance segmentation and matching task","name":"articletitle","label":"Article Title"},{"value":"Computerized Medical Imaging and Graphics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compmedimag.2025.102681","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"102681"}}