{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T14:51:19Z","timestamp":1778079079930,"version":"3.51.4"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"National Science Foundation of Jinlin Province","award":["20210101180JC"],"award-info":[{"award-number":["20210101180JC"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1007\/s11760-023-02775-w","type":"journal-article","created":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T11:02:23Z","timestamp":1701342143000},"page":"1683-1693","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An adaptive guidance fusion network for RGB-D salient object detection"],"prefix":"10.1007","volume":"18","author":[{"given":"Haodong","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinpeng","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,30]]},"reference":[{"key":"2775_CR1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00220","author":"YW Pang","year":"2022","unstructured":"Pang, Y.W., Zhao, X.Q., Xiang, T.Z., Zhang, L.H., Lu, H.C.: Zoom in and out: A mixed-scale triplet network for camouflaged object detection. CVPR. (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00220","journal-title":"CVPR."},{"key":"2775_CR2","first-page":"4793","volume":"44","author":"K Zhao","year":"2022","unstructured":"Zhao, K., Han, Q., Cheng, M.M.: Deep Hough transform for semantic line detection. IEEE Trans. Pattern Anal. Mach. Intell. 44, 4793\u20134806 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2775_CR3","doi-asserted-by":"publisher","first-page":"102340","DOI":"10.1016\/j.media.2021.102340","volume":"77","author":"WT Chen","year":"2022","unstructured":"Chen, W.T., Yu, S., Ma, K., Ji, W., Bian, C., Chu, C.Y., Shen, L.L., Zheng, Y.F.: Tw-gan: Topology and width aware gan for retinal artery\/vein classification. Med. Image Anal. 77, 102340 (2022)","journal-title":"Med. Image Anal."},{"key":"2775_CR4","doi-asserted-by":"publisher","first-page":"114596","DOI":"10.1016\/j.eswa.2021.114596","volume":"171","author":"YF Xu","year":"2021","unstructured":"Xu, Y.F., Xu, W.J., Wang, M., Li, L., Sang, G.N., Wei, P.P., Zhu, L.: Saliency aware image cropping with latent region pair. Expert Syst. Appl. 171, 114596 (2021)","journal-title":"Expert Syst. Appl."},{"key":"2775_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2015.7298965","author":"J Long","year":"2015","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. CVPR. (2015). https:\/\/doi.org\/10.1109\/cvpr.2015.7298965","journal-title":"CVPR."},{"key":"2775_CR6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00403","author":"Z Wu","year":"2019","unstructured":"Wu, Z., Su, L., Huang, Q.M.: Cascaded partial decoder for fast and accurate salient object detection. CVPR. (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00403","journal-title":"CVPR."},{"key":"2775_CR7","doi-asserted-by":"publisher","first-page":"2825","DOI":"10.1109\/TIP.2019.2891104","volume":"28","author":"H Chen","year":"2019","unstructured":"Chen, H., Li, Y.F.: Three-stream attention-aware network for RGB-D salient object detection. IEEE Trans. Image Process. 28, 2825\u20132835 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"2775_CR8","doi-asserted-by":"publisher","first-page":"4873","DOI":"10.1109\/TIP.2020.2976689","volume":"29","author":"GY Li","year":"2022","unstructured":"Li, G.Y., Liu, Z., Ling, H.B.: Icnet: Information conversion network for RGB-D based salient object detection. IEEE Trans. Image Process. 29, 4873\u20134884 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"2775_CR9","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1109\/TNNLS.2020.2996406","volume":"32","author":"DP Fan","year":"2020","unstructured":"Fan, D.P., Lin, Z., Zhang, Z., Zhu, M.L., Cheng, M.M.: Rethinking rgb-d salient object detection: models, data sets, and large-scale benchmarks. IEEE Trans. Neural Netw. Learn. Syst. 32, 2075\u20132089 (2020)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"2","key":"2775_CR10","first-page":"1063","volume":"35","author":"Q Chen","year":"2021","unstructured":"Chen, Q., Liu, Z., Zhang, Y., Fu, K.R., Zhao, Q.J., Du, H.W.: RGB-D salient object detection via 3D convolutional neural networks. Assoc Adv. Artif. Intell. 35(2), 1063\u20131071 (2021)","journal-title":"Assoc Adv. Artif. Intell."},{"key":"2775_CR11","doi-asserted-by":"crossref","unstructured":"Zhao, X. Q., Zhang, L. H., Pang, Y. W., Lu, H. C., Zhang, L.: A single stream network for robust and real-time rgb-d salient object detection. In: ECCV (2020).","DOI":"10.1007\/978-3-030-58542-6_39"},{"key":"2775_CR12","doi-asserted-by":"publisher","first-page":"5346","DOI":"10.1109\/TCSVT.2022.3144852","volume":"32","author":"Y Yang","year":"2022","unstructured":"Yang, Y., Qin, Q., Luo, Y.J., Liu, Y., Zhang, Q., Han, J.Q.: Bi-directional progressive guidance network for rgb-d salient object detection. IEEE Trans. Circuits Syst. Video Technol. 32, 5346\u20135360 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2775_CR13","doi-asserted-by":"publisher","first-page":"1949","DOI":"10.1109\/TIP.2021.3049959","volume":"30","author":"Z Zhang","year":"2021","unstructured":"Zhang, Z., Lin, Z., Xu, J., Jin, W.D., Lu, S.P., Fan, D.P.: Bilateral attention network for rgb-d salient object detection. IEEE Trans. Image Process. 30, 1949\u20131961 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"2775_CR14","doi-asserted-by":"crossref","unstructured":"Zhao, X. Q., Pang, Y. W., Zhang, L. H., Lu, H. C., Ruan, X.: Self-supervised pretraining for RGB-D salient object detection. Assoc Advancement Artificial Intelligence. (2023).","DOI":"10.1609\/aaai.v36i3.20257"},{"key":"2775_CR15","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1016\/j.neucom.2022.04.015","volume":"491","author":"X Jin","year":"2022","unstructured":"Jin, X., Guo, C.L., He, Z., Xu, J., Wang, Y.W., Su, Y.T.: FCMNet: Frequency-aware cross-modality attention networks for RGB-D salient object detection. Neurocomputing 491, 414\u2013425 (2022)","journal-title":"Neurocomputing"},{"key":"2775_CR16","doi-asserted-by":"publisher","first-page":"9026","DOI":"10.1109\/TPAMI.2021.3122139","volume":"44","author":"N Liu","year":"2022","unstructured":"Liu, N., Zhang, N., Shao, L., Han, J.W.: Learning selective mutual attention and contrast for RGB-D saliency detection. IEEE Trans. Pattern Anal. Mach. Intell. 44, 9026\u20139042 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2775_CR17","doi-asserted-by":"publisher","first-page":"8727","DOI":"10.1109\/TIP.2021.3116793","volume":"30","author":"YJ Zhai","year":"2021","unstructured":"Zhai, Y.J., Fan, D.P., Yang, J.F., Borji, A., Shao, L., Han, J.W., Wang, L.: Bifurcated backbone strategy for rgb-d salient object detection. IEEE Trans. Image Process. 30, 8727\u20138742 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"2775_CR18","doi-asserted-by":"crossref","unstructured":"Feng, G., Meng, J. Y., Zhang, L. H., Lu, H. C.: Encoder deep interleaved network with multi-scale aggregation for rgb-d salient object detection. Pattern Recognit. 128, (2022).","DOI":"10.1016\/j.patcog.2022.108666"},{"key":"2775_CR19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00312","author":"KF Fu","year":"2020","unstructured":"Fu, K.F., Fan, D.P., Ji, G.P., Zhao, Q.J.: Jl-dcf: Joint learning and densely-cooperative fusion framework for rgb-d salient object detection. CVPR (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00312","journal-title":"CVPR"},{"key":"2775_CR20","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/s41095-022-0274-8","volume":"8","author":"WH Wang","year":"2022","unstructured":"Wang, W.H., Xie, E.Z., Li, X., Fan, D.P., Song, K.T., Liang, D., Lu, T., Luo, P., Shao, L.: Pvt v2: Improved baselines with pyramid vision transformer. Comput. Vis. Media. 8, 415\u2013424 (2022)","journal-title":"Comput. Vis. Media."},{"key":"2775_CR21","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1109\/TIP.2022.3140606","volume":"31","author":"FY Wang","year":"2022","unstructured":"Wang, F.Y., Pan, J.S., Xu, S.K., Tang, J.H.: Learning discriminative cross-modality features for rgb-d saliency detection. IEEE Trans. Image Process. 31, 1285\u20131297 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"2775_CR22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.178","author":"CB Zhu","year":"2017","unstructured":"Zhu, C.B., Li, G., Wang, W.M., Wang, R.G.: An innovative salient object detection using center-dark channel prior. ICCVW (2017). https:\/\/doi.org\/10.1109\/ICCVW.2017.178","journal-title":"ICCVW"},{"key":"2775_CR23","doi-asserted-by":"publisher","DOI":"10.1145\/2632856.2632866","author":"YP Cheng","year":"2014","unstructured":"Cheng, Y.P., Fu, H.Z., Wei, X.X., Xiao, J.J.: Depth enhanced saliency detection method. Proc. Int. Conf. Internet Multimedia Comput. Serv. (2014). https:\/\/doi.org\/10.1145\/2632856.2632866","journal-title":"Proc. Int. Conf. Internet Multimedia Comput. Serv."},{"key":"2775_CR24","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Commun. ACM 60, 84\u201390 (2017)","journal-title":"Commun. ACM"},{"key":"2775_CR25","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TIP.2017.2682981","volume":"26","author":"LQ Qu","year":"2017","unstructured":"Qu, L.Q., He, S.F., Zhang, J.W., Tian, J.D., Tang, Y.D., Yang, Q.X.: Rgbd salient object detection via deep fusion. IEEE Trans. Image Process. 26, 2274\u20132285 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"2775_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00405","author":"JX Zhao","year":"2019","unstructured":"Zhao, J.X., Cao, Y., Fan, D.P., Cheng, M.M., Li, X.Y., Zhang, L.: Contrast prior and fluid pyramid integration for rgbd salient object detection. CVPR (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00405","journal-title":"CVPR"},{"key":"2775_CR27","doi-asserted-by":"publisher","first-page":"1787","DOI":"10.1109\/TCSVT.2022.3215979","volume":"33","author":"G Chen","year":"2023","unstructured":"Chen, G., Shao, F., Chan, H.W., Jiang, Q.P., Meng, X.C.: Modality-induced transfer-fusion network for RGB-D and RGB-T salient object detection. IEEE Trans. Circuits Syst. Video Technol. 33, 1787\u20131801 (2023)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2775_CR28","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.neucom.2022.03.029","volume":"490","author":"YH Liang","year":"2022","unstructured":"Liang, Y.H., Qin, G.H., Sun, M.H., Qin, J., Yan, J., Zhang, Z.H.: Multi-modal interactive attention and dual progressive decoding network for RGB-D\/T salient object detection. Neurocomputing 490, 132\u2013145 (2022)","journal-title":"Neurocomputing"},{"key":"2775_CR29","doi-asserted-by":"publisher","first-page":"9179","DOI":"10.1109\/TIP.2021.3123548","volume":"30","author":"H Wen","year":"2021","unstructured":"Wen, H., Yan, C., Zhou, X., Cong, R., Sun, Y., Zheng, B., Ding, G.: Dynamic selective network for RGB-D salient object detection. IEEE Trans. Image Process. 30, 9179\u20139192 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"2775_CR30","doi-asserted-by":"publisher","unstructured":"Chen, B.A., Chen, Z.L., Hu, X.W., Xie, H.R., Wei, M.Q., Qin, J.: Dynamic message propagation network for RGB-D salient object detection. CVPR https:\/\/doi.org\/10.48550\/arXiv.2206.09552 (2022).","DOI":"10.48550\/arXiv.2206.09552"},{"key":"2775_CR31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986","author":"Z Liu","year":"2021","unstructured":"Liu, Z., Lin, Y.T., Cao, Y., Hu, H., Wei, Y.Z., Zhang, Z., Lin, S., Guo, B.N.: Swin transformer: Hierarchical vision transformer using shifted windows. ICCV (2021). https:\/\/doi.org\/10.1109\/ICCV48922.2021.00986","journal-title":"ICCV"},{"key":"2775_CR32","doi-asserted-by":"publisher","first-page":"2160","DOI":"10.1109\/TIP.2023.3263111","volume":"32","author":"ZW Wu","year":"2023","unstructured":"Wu, Z.W., Allibert, G., Meriaudeau, F., Ma, C., Demonceaux, C.: HiDAnet: RGB-D salient object detection via hierarchical depth awareness. IEEE Trans. Image Process. 32, 2160\u20132173 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"2775_CR33","first-page":"12321","volume":"34","author":"J Wei","year":"2020","unstructured":"Wei, J., Wang, S.H., Huang, Q.M.: F(3)Net: Fusion, feedback and focus for salient object detection. AAAI Conf. Artif. Intell. 34, 12321\u201312328 (2020)","journal-title":"AAAI Conf. Artif. Intell."},{"key":"2775_CR34","doi-asserted-by":"crossref","unstructured":"Ju, R., Ge, L., Geng, W. J., Ren, T. W., Wu, G. S.: Depth saliency based on anisotropic center-surround difference. In: ICIP (2014).","DOI":"10.1109\/ICIP.2014.7025222"},{"key":"2775_CR35","first-page":"92","volume":"8691","author":"HW Peng","year":"2014","unstructured":"Peng, H.W., Li, B., Xiong, W.H., Hu, W.M., Ji, R.R.: Rgbd salient object detection: a benchmark and algorithms. Comput. Vis. 8691, 92\u2013109 (2014)","journal-title":"Comput. Vis."},{"key":"2775_CR36","unstructured":"Niu, Y. Z., Geng, Y. J., Li, X. Q., Liu, F.: Leveraging stereopsis for saliency analysis. In: CVPR (2012)."},{"key":"2775_CR37","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1109\/TPAMI.2016.2610425","volume":"39","author":"NY Li","year":"2017","unstructured":"Li, N.Y., Ye, J.W., Ji, Y., Ling, H.B., Yu, J.Y.: Saliency detection on light field. IEEE Trans. Pattern Anal. Mach. Intell. 39, 1605\u20131616 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2775_CR38","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1109\/TNNLS.2020.2996406","volume":"32","author":"DP Fan","year":"2022","unstructured":"Fan, D.P., Lin, Z., Zhang, Z., Zhu, M.L., Cheng, M.M.: Rethinking rgb-d salient object detection: models, data sets, and large-scale benchmarks. IEEE Trans. Neural Netw. Learn. Syst. 32, 2075\u20132089 (2022)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"2775_CR39","doi-asserted-by":"publisher","unstructured":"Kingma, D. P., Ba, J.: Adam: A method for stochastic optimization. https:\/\/doi.org\/10.48550\/arXiv.1412.6856.","DOI":"10.48550\/arXiv.1412.6856"},{"key":"2775_CR40","doi-asserted-by":"crossref","unstructured":"Fan, D. P., Gong, C., Cao, Y., Ren, B., Cheng, M. M., Borji, A.: Enhanced-alignment measure for binary foreground map evaluation. In: IJCAI. (2018).","DOI":"10.24963\/ijcai.2018\/97"},{"key":"2775_CR41","doi-asserted-by":"publisher","unstructured":"Fan, D. P., Cheng, M. M., Liu, Y., Li, T., Borji, A.: Structure-measure: a new way to evaluate foreground maps. In: ICCV https:\/\/doi.org\/10.1109\/ICCV.2017.487 (2017).","DOI":"10.1109\/ICCV.2017.487"},{"key":"2775_CR42","doi-asserted-by":"crossref","unstructured":"Achanta, R., Hemami, S., Estrada, F., Susstrunk, S.: Frequency-tuned salient region detection. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2009, pp. 1597\u20131604","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"2775_CR43","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2012.6247743","author":"F Perazzi","year":"2012","unstructured":"Perazzi, F., Krahenbuhl, P., Pritch, Y., Hornung, A.: Saliency filters: contrast based filtering for salient region detection. CVPR (2012). https:\/\/doi.org\/10.1109\/cvpr.2012.6247743","journal-title":"CVPR"},{"key":"2775_CR44","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.patcog.2018.08.007","volume":"86","author":"H Chen","year":"2019","unstructured":"Chen, H., Li, Y.F., Su, D.: Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGD-D salient object detection. Pattern Recognit. 86, 376\u2013385 (2019)","journal-title":"Pattern Recognit."},{"key":"2775_CR45","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1109\/TCYB.2020.2969255","volume":"51","author":"CY Li","year":"2021","unstructured":"Li, C.Y., Gong, R.M., Kwong, S., Hou, J.H., Fu, H.Z., Zhu, G.P., Zhang, D.W., Huang, Q.M.: ASIF-Net: attention steered interweave fusion network for RGB-D salient object detection. IEEE Trans. Cybern. 51, 88\u2013100 (2021)","journal-title":"IEEE Trans. Cybern."},{"key":"2775_CR46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00861","author":"J Zhang","year":"2022","unstructured":"Zhang, J., Fan, D.P., Dai, Y.C., Anwar, S., Saleh, F.S., Zhang, T., Barnes, N.: UC-Net: uncertainty inspired RGB-D saliency detection via conditional variational autoencoders. CVPR (2022). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00861","journal-title":"CVPR"},{"key":"2775_CR47","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1109\/TMM.2021.3058788","volume":"24","author":"YF Zhang","year":"2022","unstructured":"Zhang, Y.F., Zheng, J.B., Jia, W.J., Huang, W.F., Li, L., Liu, N.A., Li, F., He, X.J.: Deep RGB-D saliency detection without depth. IEEE Trans. Multimedia 24, 755\u2013767 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"2775_CR48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106","author":"TY Lin","year":"2017","unstructured":"Lin, T.Y., Dollar, P., Girshick, R., He, K.M., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. CVPR (2017). https:\/\/doi.org\/10.1109\/CVPR.2017.106","journal-title":"CVPR"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-023-02775-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-023-02775-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-023-02775-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,23]],"date-time":"2024-02-23T09:21:30Z","timestamp":1708680090000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-023-02775-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"references-count":48,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,3]]}},"alternative-id":["2775"],"URL":"https:\/\/doi.org\/10.1007\/s11760-023-02775-w","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]},"assertion":[{"value":"29 May 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 September 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2023","order":4,"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 no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}