{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T12:30:19Z","timestamp":1773232219711,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T00:00:00Z","timestamp":1740700800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T00:00:00Z","timestamp":1740700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"The Humanities and Social Sciences Research Program of Chongqing Municipal Education Commission","award":["No. 23SKGH263"],"award-info":[{"award-number":["No. 23SKGH263"]}]},{"name":"The Science and Technology Research Program of Chongqing Municipal Education Commission","award":["No. KJQN202201148"],"award-info":[{"award-number":["No. KJQN202201148"]}]},{"name":"The Funding Achievements of the Action Plan for High Quality Development of Graduate Education at Chongqing University of Technology","award":["No. gzlcx20243180"],"award-info":[{"award-number":["No. gzlcx20243180"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s10044-025-01432-x","type":"journal-article","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T05:26:59Z","timestamp":1740720419000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Interactive image segmentation combining global seeding and sparse local reconstruction"],"prefix":"10.1007","volume":"28","author":[{"given":"Jianwu","family":"Long","sequence":"first","affiliation":[]},{"given":"Yuanqin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Kaixin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Shuang","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Luo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,28]]},"reference":[{"key":"1432_CR1","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1109\/RBME.2018.2798701","volume":"11","author":"X Chen","year":"2018","unstructured":"Chen X, Pan L (2018) A survey of graph cuts\/graph search based medical image segmentation. IEEE Rev Biomed Eng 11:112\u2013124","journal-title":"IEEE Rev Biomed Eng"},{"key":"1432_CR2","doi-asserted-by":"crossref","unstructured":"Zhang Y, Borse S, Cai H, Porikli F (2022) Auxadapt: Stable and efficient test-time adaptation for temporally consistent video semantic segmentation. In: Proceedings of the IEEE\/CVF winter conference on applications of computer vision, pp. 2339\u20132348","DOI":"10.1109\/WACV51458.2022.00269"},{"key":"1432_CR3","doi-asserted-by":"crossref","unstructured":"Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 779\u2013788","DOI":"10.1109\/CVPR.2016.91"},{"issue":"2","key":"1432_CR4","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1109\/TPAMI.2004.1262177","volume":"26","author":"V Kolmogorov","year":"2004","unstructured":"Kolmogorov V, Zabin R (2004) What energy functions can be minimized via graph cuts? IEEE Trans Pattern Anal Mach Intell 26(2):147\u2013159","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"1432_CR5","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8):888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"10","key":"1432_CR6","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1109\/TPAMI.2008.168","volume":"30","author":"A Levin","year":"2008","unstructured":"Levin A, Rav-Acha A, Lischinski D (2008) Spectral matting. IEEE Trans Pattern Anal Mach Intell 30(10):1699\u20131712","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"1432_CR7","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.ejor.2010.08.012","volume":"211","author":"MC Nascimento","year":"2011","unstructured":"Nascimento MC, De Carvalho AC (2011) Spectral methods for graph clustering-a survey. Eur J Oper Res 211(2):221\u2013231","journal-title":"Eur J Oper Res"},{"issue":"1","key":"1432_CR8","first-page":"87","volume":"44","author":"S Xia","year":"2020","unstructured":"Xia S, Peng D, Meng D, Zhang C, Wang G, Giem E, Wei W, Chen Z (2020) Ball $$ k $$ k-means: fast adaptive clustering with no bounds. IEEE Trans Pattern Anal Mach Intell 44(1):87\u201399","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"1432_CR9","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/3477.764879","volume":"29","author":"K Krishna","year":"1999","unstructured":"Krishna K, Murty MN (1999) Genetic k-means algorithm. IEEE Trans Syst, Man, Cybernet Part B 29(3):433\u2013439","journal-title":"IEEE Trans Syst, Man, Cybernet Part B"},{"key":"1432_CR10","unstructured":"Bond SR, Hoeffler A, Temple JR (2001) Gmm estimation of empirical growth models. Available at SSRN 290522"},{"issue":"12","key":"1432_CR11","doi-asserted-by":"publisher","first-page":"1638","DOI":"10.1016\/j.cviu.2011.05.013","volume":"115","author":"I Koutis","year":"2011","unstructured":"Koutis I, Miller GL, Tolliver D (2011) Combinatorial preconditioners and multilevel solvers for problems in computer vision and image processing. Comput Vis Image Underst 115(12):1638\u20131646","journal-title":"Comput Vis Image Underst"},{"issue":"11","key":"1432_CR12","doi-asserted-by":"publisher","first-page":"1768","DOI":"10.1109\/TPAMI.2006.233","volume":"28","author":"L Grady","year":"2006","unstructured":"Grady L (2006) Random walks for image segmentation. IEEE Trans Pattern Anal Mach Intell 28(11):1768\u20131783","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1432_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103154","volume":"71","author":"L Wang","year":"2022","unstructured":"Wang L, Li M, Fang X, Nappi M, Wan S (2022) Improving random walker segmentation using a nonlocal bipartite graph. Biomed Signal Process Control 71:103154","journal-title":"Biomed Signal Process Control"},{"issue":"8","key":"1432_CR14","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1109\/TPAMI.2008.173","volume":"31","author":"J Cousty","year":"2008","unstructured":"Cousty J, Bertrand G, Najman L, Couprie M (2008) Watershed cuts: minimum spanning forests and the drop of water principle. IEEE Trans Pattern Anal Mach Intell 31(8):1362\u20131374","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1432_CR15","doi-asserted-by":"crossref","unstructured":"Boykov YY, Jolly M-P (2001) Interactive graph cuts for optimal boundary & region segmentation of objects in nd images. In: Proceedings eighth IEEE international conference on computer vision. ICCV 2001. IEEE, vol. 1, pp. 105\u2013112","DOI":"10.1109\/ICCV.2001.937505"},{"issue":"2","key":"1432_CR16","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/s11263-006-7934-5","volume":"70","author":"Y Boykov","year":"2006","unstructured":"Boykov Y, Funka-Lea G (2006) Graph cuts and efficient nd image segmentation. Int J Comput Vision 70(2):109\u2013131","journal-title":"Int J Comput Vision"},{"key":"1432_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3274662","volume":"23","author":"M Henzinger","year":"2018","unstructured":"Henzinger M, Noe A, Schulz C, Strash D (2018) Practical minimum cut algorithms. J Exp Algorithmics (JEA) 23:1\u201322","journal-title":"J Exp Algorithmics (JEA)"},{"issue":"1","key":"1432_CR18","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1145\/331605.331608","volume":"47","author":"DR Karger","year":"2000","unstructured":"Karger DR (2000) Minimum cuts in near-linear time. J ACM (JACM) 47(1):46\u201376","journal-title":"J ACM (JACM)"},{"issue":"3","key":"1432_CR19","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1145\/1015706.1015720","volume":"23","author":"C Rother","year":"2004","unstructured":"Rother C, Kolmogorov V, Blake A (2004) Grabcut interactive foreground extraction using iterated graph cuts. ACM Trans Graph (TOG) 23(3):309\u2013314","journal-title":"ACM Trans Graph (TOG)"},{"key":"1432_CR20","doi-asserted-by":"crossref","unstructured":"Tang M, Gorelick L, Veksler O, Boykov Y (2013) Grabcut in one cut. In: Proceedings of the IEEE international conference on computer vision, pp. 1769\u20131776","DOI":"10.1109\/ICCV.2013.222"},{"key":"1432_CR21","first-page":"159","volume":"78","author":"Z Peng","year":"2019","unstructured":"Peng Z, Qu S, Li Q (2019) Interactive image segmentation using geodesic appearance overlap graph cut. Signal Process: Image Commun 78:159\u2013170","journal-title":"Signal Process: Image Commun"},{"key":"1432_CR22","doi-asserted-by":"crossref","unstructured":"Kim TH, Lee KM, Lee SU (2008) Generative image segmentation using random walks with restart. In: Computer Vision\u2013ECCV 2008: 10th European conference on computer vision, marseille, france, October 12\u201318, 2008, proceedings, part iii 10. Springer, pp. 264\u2013275","DOI":"10.1007\/978-3-540-88690-7_20"},{"key":"1432_CR23","doi-asserted-by":"crossref","unstructured":"Yu W, McCann J (2016) Random walk with restart over dynamic graphs. In: 2016 IEEE 16th international conference on data mining (icdm). IEEE, pp. 589\u2013598","DOI":"10.1109\/ICDM.2016.0070"},{"key":"1432_CR24","doi-asserted-by":"crossref","unstructured":"Lee C, Jang W-D, Sim J-Y, Kim C-S (2015) Multiple random walkers and their application to image cosegmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3837\u20133845","DOI":"10.1109\/CVPR.2015.7299008"},{"issue":"4","key":"1432_CR25","doi-asserted-by":"publisher","first-page":"1451","DOI":"10.1109\/TIP.2014.2302892","volume":"23","author":"J Shen","year":"2014","unstructured":"Shen J, Du Y, Wang W, Li X (2014) Lazy random walks for superpixel segmentation. IEEE Trans Image Process 23(4):1451\u20131462","journal-title":"IEEE Trans Image Process"},{"key":"1432_CR26","doi-asserted-by":"crossref","unstructured":"Deng M, Zhou Z, Liu G, Zeng D, Zhang M (2023) Adaptive active contour model based on local bias field estimation and saliency. J Intell Fuzzy Syst, pp 1\u201315","DOI":"10.3233\/JIFS-231741"},{"issue":"1","key":"1432_CR27","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1109\/TIP.2016.2621663","volume":"26","author":"CG Bampis","year":"2017","unstructured":"Bampis CG, Maragos P, Bovik AC (2017) Graph-driven diffusion and random walk schemes for image segmentation. IEEE Trans Image Process 26(1):35\u201350","journal-title":"IEEE Trans Image Process"},{"key":"1432_CR28","doi-asserted-by":"crossref","unstructured":"Bampis C.G, Maragos P (2015) Unifying the random walker algorithm and the sir model for graph clustering and image segmentation. In: 2015 IEEE international conference on image processing (ICIP). IEEE, pp. 2265\u20132269","DOI":"10.1109\/ICIP.2015.7351205"},{"key":"1432_CR29","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.physa.2016.09.010","volume":"467","author":"FM Ruziska","year":"2017","unstructured":"Ruziska FM, Tom\u00e9 T, de Oliveira MJ (2017) Susceptible-infected-recovered model with recurrent infection. Physica A 467:21\u201329","journal-title":"Physica A"},{"key":"1432_CR30","doi-asserted-by":"publisher","first-page":"2665","DOI":"10.1109\/TPAMI.2020.2974475","volume":"43","author":"W Casaca","year":"2021","unstructured":"Casaca W, Gois JP, Batagelo HC, Taubin G, Nonato LG (2021) Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Trans Pattern Anal Mach Intell 43:2665\u20132681","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"1432_CR31","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1109\/34.295913","volume":"16","author":"R Adams","year":"1994","unstructured":"Adams R, Bischof L (1994) Seeded region growing. IEEE Trans Pattern Anal Mach Intell 16(6):641\u2013647","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"1432_CR32","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/j.patcog.2009.03.004","volume":"43","author":"J Ning","year":"2010","unstructured":"Ning J, Zhang L, Zhang D, Wu C (2010) Interactive image segmentation by maximal similarity based region merging. Pattern Recogn 43(2):445\u2013456","journal-title":"Pattern Recogn"},{"issue":"5","key":"1432_CR33","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D Comaniciu","year":"2002","unstructured":"Comaniciu D, Meer P (2002) Mean shift: a robust approach toward feature space analysis. IEEE Trans Pattern Anal Mach Intell 24(5):603\u2013619","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"1432_CR34","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TCOM.1967.1089532","volume":"15","author":"T Kailath","year":"1967","unstructured":"Kailath T (1967) The divergence and bhattacharyya distance measures in signal selection. IEEE Trans Commun Technol 15(1):52\u201360","journal-title":"IEEE Trans Commun Technol"},{"issue":"15","key":"1432_CR35","doi-asserted-by":"publisher","first-page":"22469","DOI":"10.1007\/s11042-022-14199-8","volume":"82","author":"Y Shan","year":"2023","unstructured":"Shan Y, Ma Y, Liao Y, Huang H, Wang B (2023) Interactive image segmentation based on multi-layer random forest classifiers. Multimed Tools Appl 82(15):22469\u201322495","journal-title":"Multimed Tools Appl"},{"key":"1432_CR36","doi-asserted-by":"crossref","unstructured":"Xu N, Price B, Cohen S, Yang J, Huang T (2016) Deep interactive object selection. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR.2016.47"},{"key":"1432_CR37","doi-asserted-by":"crossref","unstructured":"Liew J, Wei Y, Xiong W, Ong S.-H, Feng J (2017) Regional interactive image segmentation networks. In: 2017 IEEE international conference on computer vision (ICCV). IEEE, pp. 2746\u20132754","DOI":"10.1109\/ICCV.2017.297"},{"key":"1432_CR38","doi-asserted-by":"crossref","unstructured":"Li Z, Chen Q, Koltun V (2018) Interactive image segmentation with latent diversity. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 577\u2013585","DOI":"10.1109\/CVPR.2018.00067"},{"key":"1432_CR39","doi-asserted-by":"crossref","unstructured":"Jang W-D, Kim C-S (2019) Interactive image segmentation via backpropagating refinement scheme. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 5297\u20135306","DOI":"10.1109\/CVPR.2019.00544"},{"key":"1432_CR40","doi-asserted-by":"crossref","unstructured":"Sofiiuk K, Petrov IA, Konushin A (2022) Reviving iterative training with mask guidance for interactive segmentation. In: 2022 IEEE international conference on image processing (ICIP). IEEE, pp. 3141\u20133145","DOI":"10.1109\/ICIP46576.2022.9897365"},{"key":"1432_CR41","unstructured":"Vezhnevets V, Konouchine V (2005) Growcut: Interactive multi-label nd image segmentation by cellular automata. In: Proc. of Graphicon. Citeseer, vol. 1, pp. 150\u2013156"},{"key":"1432_CR42","doi-asserted-by":"crossref","unstructured":"B\u00fchler T, Hein M (2009) Spectral clustering based on the graph p-laplacian. In: Proceedings of the 26th annual international conference on machine learning, pp. 81\u201388","DOI":"10.1145\/1553374.1553385"},{"key":"1432_CR43","doi-asserted-by":"crossref","unstructured":"Yu Y, Fang C, Liao Z (2015) Piecewise flat embedding for image segmentation. In: Proceedings of the IEEE international conference on computer vision, pp. 1368\u20131376","DOI":"10.1109\/ICCV.2015.161"},{"issue":"1","key":"1432_CR44","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/cpa.20303","volume":"63","author":"I Daubechies","year":"2010","unstructured":"Daubechies I, DeVore R, Fornasier M, G\u00fcnt\u00fcrk CS (2010) Iteratively reweighted least squares minimization for sparse recovery. Commun Pure Appl Math: J Issued Courant Instit Math Sci 63(1):1\u201338","journal-title":"Commun Pure Appl Math: J Issued Courant Instit Math Sci"},{"key":"1432_CR45","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1007\/s00041-008-9045-x","volume":"14","author":"EJ Candes","year":"2008","unstructured":"Candes EJ, Wakin MB, Boyd SP (2008) Enhancing sparsity by reweighted $$l_1$$ minimization. J Fourier Anal Appl 14:877\u2013905","journal-title":"J Fourier Anal Appl"},{"issue":"285\u2013296","key":"1432_CR46","first-page":"23","volume":"11","author":"N Otsu","year":"1975","unstructured":"Otsu N et al (1975) A threshold selection method from gray-level histograms. Automatica 11(285\u2013296):23\u201327","journal-title":"Automatica"},{"issue":"6","key":"1432_CR47","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1109\/TPAMI.2007.1046","volume":"29","author":"R Unnikrishnan","year":"2007","unstructured":"Unnikrishnan R, Pantofaru C, Hebert M (2007) Toward objective evaluation of image segmentation algorithms. IEEE Trans Pattern Anal Mach Intell 29(6):929\u2013944","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1432_CR48","doi-asserted-by":"crossref","unstructured":"Meil\u01ce M (2005) Comparing clusterings: an axiomatic view. In: Proceedings of the 22nd international conference on machine learning, pp. 577\u2013584","DOI":"10.1145\/1102351.1102424"},{"key":"1432_CR49","doi-asserted-by":"crossref","unstructured":"Unnikrishnan R, Pantofaru C, Hebert M (2005) A measure for objective evaluation of image segmentation algorithms. In: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR\u201905)-Workshops. IEEE, pp. 34\u201334","DOI":"10.1109\/CVPR.2005.390"},{"issue":"2","key":"1432_CR50","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1016\/j.patcog.2009.03.008","volume":"43","author":"K McGuinness","year":"2010","unstructured":"McGuinness K, O\u2019connor NE (2010) A comparative evaluation of interactive segmentation algorithms. Pattern Recogn 43(2):434\u2013444","journal-title":"Pattern Recogn"},{"key":"1432_CR51","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.compmedimag.2015.02.007","volume":"43","author":"J Bernal","year":"2015","unstructured":"Bernal J, S\u00e1nchez FJ, Fern\u00e1ndez-Esparrach G, Gil D, Rodr\u00edguez C, Vilari\u00f1o F (2015) Wm-dova maps for accurate polyp highlighting in colonoscopy: validation vs. saliency maps from physicians. Comput Med Imaging Graph 43:99\u2013111","journal-title":"Comput Med Imaging Graph"},{"key":"1432_CR52","doi-asserted-by":"crossref","unstructured":"Andrade F, Carrera EV (2015) Supervised evaluation of seed-based interactive image segmentation algorithms. In: 2015 20th symposium on signal processing, images and computer vision (STSIVA). IEEE, pp. 1\u20137","DOI":"10.1109\/STSIVA.2015.7330447"},{"key":"1432_CR53","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/s11263-009-0251-z","volume":"85","author":"FJ Estrada","year":"2009","unstructured":"Estrada FJ, Jepson AD (2009) Benchmarking image segmentation algorithms. Int J Comput Vision 85:167\u2013181","journal-title":"Int J Comput Vision"},{"issue":"1","key":"1432_CR54","first-page":"1","volume":"57","author":"RJ Tibshirani","year":"1993","unstructured":"Tibshirani RJ, Efron B (1993) An introduction to the bootstrap. Monogr Stat Appl Prob 57(1):1\u2013436","journal-title":"Monogr Stat Appl Prob"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-025-01432-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10044-025-01432-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-025-01432-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T16:41:44Z","timestamp":1751474504000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10044-025-01432-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,28]]},"references-count":54,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["1432"],"URL":"https:\/\/doi.org\/10.1007\/s10044-025-01432-x","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,28]]},"assertion":[{"value":"2 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 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 known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"55"}}