{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:17:05Z","timestamp":1746591425407,"version":"3.40.5"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T00:00:00Z","timestamp":1738886400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T00:00:00Z","timestamp":1738886400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62133010"],"award-info":[{"award-number":["62133010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"DOI":"10.1007\/s11548-025-03329-w","type":"journal-article","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T17:32:41Z","timestamp":1738949561000},"page":"913-922","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A deep learning-driven method for safe and effective ERCP cannulation"],"prefix":"10.1007","volume":"20","author":[{"given":"Yuying","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4257-7978","authenticated-orcid":false,"given":"Siyang","family":"Zuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,7]]},"reference":[{"issue":"06","key":"3329_CR1","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1055\/a-1134-4873","volume":"8","author":"PT Kr\u00f6ner","year":"2020","unstructured":"Kr\u00f6ner PT, Bilal M, Samuel R, Umar S, Abougergi MS, Lukens FJ, Raimondo M, Carr-Locke DL (2020) Use of ercp in the united states over the past decade. Endoscopy Int Open 8(06):761\u2013769","journal-title":"Endoscopy Int Open"},{"issue":"02","key":"3329_CR2","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1055\/a-1075-4080","volume":"52","author":"J-M Dumonceau","year":"2020","unstructured":"Dumonceau J-M, Kapral C, Aabakken L, Papanikolaou IS, Tringali A, Vanbiervliet G, Beyna T, Dinis-Ribeiro M, Hritz I, Mariani A, Paspatis G, Radaelli F, Lakhtakia S, Veitch AM, Hooft J (2020) Ercp-related adverse events: European society of gastrointestinal endoscopy (esge) guideline. Endoscopy 52(02):127\u2013149","journal-title":"Endoscopy"},{"key":"3329_CR3","first-page":"432","volume-title":"ERCP (Third Edition), Third","author":"P Chahal","year":"2019","unstructured":"Chahal P, Baron TH (2019) 45 - ercp and eus for acute and chronic adverse events of pancreatic surgery and pancreatic trauma. ERCP (Third Edition), Third, edition. Elsevier, Philadelphia, pp 432\u20134402","edition":"edition"},{"issue":"4","key":"3329_CR4","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1136\/gut.18.4.316","volume":"18","author":"PB Cotton","year":"1977","unstructured":"Cotton PB (1977) Ercp. Gut 18(4):316","journal-title":"Ercp. Gut"},{"issue":"2","key":"3329_CR5","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1136\/flgastro-2014-100473","volume":"6","author":"D Sheppard","year":"2015","unstructured":"Sheppard D, Craddock S, Warner B, Wilkinson M (2015) Ercp cannulation success benchmarking: implications for certification and validation. Front Gastroenterol 6(2):141\u2013146","journal-title":"Front Gastroenterol"},{"issue":"2","key":"3329_CR6","doi-asserted-by":"publisher","first-page":"2056","DOI":"10.1002\/rcs.2056","volume":"16","author":"W Jiang","year":"2020","unstructured":"Jiang W, Zhou Y, Wang C, Peng L, Yang Y, Liu H (2020) Navigation strategy for robotic soft endoscope intervention. Int J Med Robot Comput Assisted Surg 16(2):2056","journal-title":"Int J Med Robot Comput Assisted Surg"},{"issue":"2","key":"3329_CR7","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/TMRB.2020.2969291","volume":"2","author":"Q Boehler","year":"2020","unstructured":"Boehler Q, Gage DS, Hofmann P, Gehring A, Chautems C, Spahn DR, Biro P, Nelson BJ (2020) Realiti: a robotic endoscope automated via laryngeal imaging for tracheal intubation. IEEE Trans Med Robot Bionics 2(2):157\u2013164","journal-title":"IEEE Trans Med Robot Bionics"},{"key":"3329_CR8","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1007\/s11548-020-02148-5","volume":"15","author":"Q He","year":"2020","unstructured":"He Q, Bano S, Ahmad OF, Yang B, Chen X, Valdastri P, Lovat LB, Stoyanov D, Zuo S (2020) Deep learning-based anatomical site classification for upper gastrointestinal endoscopy. Int J Comput Assist Radiol Surg 15:1085\u20131094","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"3329_CR9","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28 (2015)"},{"key":"3329_CR10","doi-asserted-by":"crossref","unstructured":"Kalal Z, Mikolajczyk K, Matas J (2011) Tracking-learning-detection. IEEE Trans Pattern Anal Mach Intell 34(7):1409\u20131422","DOI":"10.1109\/TPAMI.2011.239"},{"key":"3329_CR11","doi-asserted-by":"crossref","unstructured":"Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu C-Y, Berg AC (2016) Ssd: Single shot multibox detector. In: European Conference on Computer Vision, pp. 21\u201337 . Springer","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"3329_CR12","unstructured":"Ultralytics: YOLOv5. https:\/\/github.com\/ultralytics\/yolov5 (2020)"},{"key":"3329_CR13","unstructured":"Ultralytics: YOLOv8. https:\/\/github.com\/ultralytics\/ultralytics (2023)"},{"key":"3329_CR14","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.compbiomed.2016.05.016","volume":"75","author":"AM Vukicevic","year":"2016","unstructured":"Vukicevic AM, Stojadinovic M, Radovic M, Djordjevic M, Cirkovic BA, Pejovic T, Jovicic G, Filipovic N (2016) Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery. Comput Biol Med 75:80\u201389","journal-title":"Comput Biol Med"},{"issue":"6","key":"3329_CR15","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/j.gie.2023.04.781","volume":"97","author":"J Wang","year":"2023","unstructured":"Wang J, Chen P, Yu H-G (2023) Real-time deep learning-based system for colorectal polyp size estimation by white-light endoscopy: A multicenter study. Gastrointest Endosc 97(6):471","journal-title":"Gastrointest Endosc"},{"key":"3329_CR16","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: Common objects in context. In: Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, Proceedings, Part V 13, pp. 740\u2013755. Springer","DOI":"10.1007\/978-3-319-10602-1_48"},{"issue":"2","key":"3329_CR17","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/S2212-0971(13)70199-7","volume":"1","author":"J Pohl","year":"2013","unstructured":"Pohl J (2013) Choledocholithiasis-sphincterotomy and stone removal with an extraction balloon. Video J Encyclopedia GI Endoscopy 1(2):445\u2013446","journal-title":"Video J Encyclopedia GI Endoscopy"},{"issue":"2","key":"3329_CR18","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1016\/S2212-0971(13)70222-X","volume":"1","author":"J Pohl","year":"2013","unstructured":"Pohl J (2013) Normal endoscopic retrograde cholangiopancreatography. Video J Encyclopedia GI Endoscopy 1(2):507\u2013509","journal-title":"Video J Encyclopedia GI Endoscopy"},{"key":"3329_CR19","unstructured":"Monzahmed: ERCP Videos. https:\/\/www.youtube.com\/@monzahmed"},{"key":"3329_CR20","doi-asserted-by":"crossref","unstructured":"Wang C-Y, Liao H-YM, Wu Y-H, Chen P-Y, Hsieh J-W, Yeh I-H. (2020) Cspnet: a new backbone that can enhance learning capability of cnn. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 390\u2013391","DOI":"10.1109\/CVPRW50498.2020.00203"},{"key":"3329_CR21","doi-asserted-by":"crossref","unstructured":"Liu Z, Lin Y, Cao Y, Hu H, Wei Y, Zhang Z, Lin S, Guo B (2021) Swin transformer: Hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10012\u201310022","DOI":"10.1109\/ICCV48922.2021.00986"},{"issue":"8","key":"3329_CR22","doi-asserted-by":"publisher","first-page":"8574","DOI":"10.1109\/TCYB.2021.3095305","volume":"52","author":"Z Zheng","year":"2021","unstructured":"Zheng Z, Wang P, Ren D, Liu W, Ye R, Hu Q, Zuo W (2021) Enhancing geometric factors in model learning and inference for object detection and instance segmentation. IEEE Trans Cybernetics 52(8):8574\u20138586","journal-title":"IEEE Trans Cybernetics"},{"key":"3329_CR23","doi-asserted-by":"crossref","unstructured":"Yin T, Zhou X, Krahenbuhl P (2021): Center-based 3d object detection and tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11784\u201311793","DOI":"10.1109\/CVPR46437.2021.01161"},{"key":"3329_CR24","doi-asserted-by":"crossref","unstructured":"Woo S, Park J, Lee J-Y, Kweon IS (2018) Cbam: convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319","DOI":"10.1007\/978-3-030-01234-2_1"},{"issue":"2017","key":"3329_CR25","first-page":"5998","volume":"30","author":"A Vaswani","year":"2017","unstructured":"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser \u0141, Polosukhin I (2017) Attention is all you need. Adv Neural Inform Process Syst 30(2017):5998\u20136008","journal-title":"Adv Neural Inform Process Syst"},{"key":"3329_CR26","doi-asserted-by":"crossref","unstructured":"Zhang Y, Ye M, Zhu G, Liu Y, Guo P, Yan J (2024) Ffca-yolo for small object detection in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing","DOI":"10.1109\/TGRS.2024.3363057"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-025-03329-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11548-025-03329-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-025-03329-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T12:51:44Z","timestamp":1746535904000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11548-025-03329-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,7]]},"references-count":26,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,5]]}},"alternative-id":["3329"],"URL":"https:\/\/doi.org\/10.1007\/s11548-025-03329-w","relation":{},"ISSN":["1861-6429"],"issn-type":[{"type":"electronic","value":"1861-6429"}],"subject":[],"published":{"date-parts":[[2025,2,7]]},"assertion":[{"value":"5 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 January 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 February 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Approval was obtained from the ethics committee of Tianjin Medical University General Hospital (Ethics approval number:IRB2022-YX-046-01).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}