{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T02:27:18Z","timestamp":1786328838917,"version":"3.56.0"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T00:00:00Z","timestamp":1745193600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T00:00:00Z","timestamp":1745193600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the project of Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University","award":["No.2024SYS009"],"award-info":[{"award-number":["No.2024SYS009"]}]},{"name":"the project of Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University","award":["No.2024SYS009"],"award-info":[{"award-number":["No.2024SYS009"]}]},{"name":"the project of Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University","award":["No.2024SYS009"],"award-info":[{"award-number":["No.2024SYS009"]}]},{"name":"the project of Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University","award":["No.2024SYS009"],"award-info":[{"award-number":["No.2024SYS009"]}]},{"name":"the project of Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University","award":["No.2024SYS009"],"award-info":[{"award-number":["No.2024SYS009"]}]},{"name":"the project of Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University","award":["No.2024SYS009"],"award-info":[{"award-number":["No.2024SYS009"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s00371-025-03903-y","type":"journal-article","created":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T03:16:23Z","timestamp":1745205383000},"page":"8857-8872","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["CAMFNet: complex camouflaged object detection via context-aware and adaptive multilevel feature fusion network"],"prefix":"10.1007","volume":"41","author":[{"given":"Bingqin","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xionglong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miaoqing","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenyang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,4,21]]},"reference":[{"key":"3903_CR1","doi-asserted-by":"crossref","unstructured":"Fan, D.-P., Ji, G.-P., Sun, G., Cheng, M.-M., Shen, J., Shao, L.: Camouflaged object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2777\u20132787 (2020)","DOI":"10.1109\/CVPR42600.2020.00285"},{"key":"3903_CR2","doi-asserted-by":"crossref","unstructured":"Fan, D.-P., Ji, G.-P., Zhou, T., Chen, G., Fu, H., Shen, J., Shao, L.: Pranet: parallel reverse attention network for polyp segmentation. In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp. 263\u2013273 (2020). Springer","DOI":"10.1007\/978-3-030-59725-2_26"},{"key":"3903_CR3","doi-asserted-by":"crossref","unstructured":"Yi, D., Su, J., Chen, W.-H.: Locust recognition and detection via aggregate channel features. Poster Papers, 112 (2019)","DOI":"10.31256\/UKRAS19.30"},{"issue":"6","key":"3903_CR4","doi-asserted-by":"publisher","first-page":"1833","DOI":"10.1016\/j.dt.2020.11.004","volume":"17","author":"JR Hall","year":"2021","unstructured":"Hall, J.R., Matthews, O., Volonakis, T.N., Liggins, E., Lymer, K.P., Baddeley, R., Cuthill, I.C., Scott-Samuel, N.E.: A platform for initial testing of multiple camouflage patterns. Defence Technol. 17(6), 1833\u20131839 (2021)","journal-title":"Defence Technol."},{"key":"3903_CR5","first-page":"1","volume":"71","author":"N Zeng","year":"2022","unstructured":"Zeng, N., Wu, P., Wang, Z., Li, H., Liu, W., Liu, X.: A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection. IEEE Trans. Instrum. Meas. 71, 1\u201314 (2022)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"3903_CR6","doi-asserted-by":"crossref","unstructured":"Huang, Z., Dai, H., Xiang, T.-Z., Wang, S., Chen, H.-X., Qin, J., Xiong, H.: Feature shrinkage pyramid for camouflaged object detection with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5557\u20135566 (2023)","DOI":"10.1109\/CVPR52729.2023.00538"},{"key":"3903_CR7","doi-asserted-by":"crossref","unstructured":"He, C., Li, K., Zhang, Y., Tang, L., Zhang, Y., Guo, Z., Li, X.: Camouflaged object detection with feature decomposition and edge reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 22046\u201322055 (2023)","DOI":"10.1109\/CVPR52729.2023.02111"},{"key":"3903_CR8","doi-asserted-by":"crossref","unstructured":"Zhai, Q., Li, X., Yang, F., Chen, C., Cheng, H., Fan, D.-P.: Mutual graph learning for camouflaged object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12997\u201313007 (2021)","DOI":"10.1109\/CVPR46437.2021.01280"},{"issue":"10","key":"3903_CR9","doi-asserted-by":"publisher","first-page":"6981","DOI":"10.1109\/TCSVT.2022.3178173","volume":"32","author":"G Chen","year":"2022","unstructured":"Chen, G., Liu, S.-J., Sun, Y.-J., Ji, G.-P., Wu, Y.-F., Zhou, T.: Camouflaged object detection via context-aware cross-level fusion. IEEE Trans. Circuits Syst. Video Technol. 32(10), 6981\u20136993 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3903_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108414","volume":"123","author":"G-P Ji","year":"2022","unstructured":"Ji, G.-P., Zhu, L., Zhuge, M., Fu, K.: Fast camouflaged object detection via edge-based reversible re-calibration network. Pattern Recogn. 123, 108414 (2022)","journal-title":"Pattern Recogn."},{"key":"3903_CR11","doi-asserted-by":"crossref","unstructured":"Jia, Q., Yao, S., Liu, Y., Fan, X., Liu, R., Luo, Z.: Segment, magnify and reiterate: Detecting camouflaged objects the hard way. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4713\u20134722 (2022)","DOI":"10.1109\/CVPR52688.2022.00467"},{"key":"3903_CR12","doi-asserted-by":"crossref","unstructured":"Pang, Y., Zhao, X., Xiang, T.-Z., Zhang, L., Lu, H.: Zoom in and out: A mixed-scale triplet network for camouflaged object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2160\u20132170 (2022)","DOI":"10.1109\/CVPR52688.2022.00220"},{"issue":"1","key":"3903_CR13","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/s11633-022-1365-9","volume":"20","author":"G-P Ji","year":"2023","unstructured":"Ji, G.-P., Fan, D.-P., Chou, Y.-C., Dai, D., Liniger, A., Van Gool, L.: Deep gradient learning for efficient camouflaged object detection. Mach. Intell. Res. 20(1), 92\u2013108 (2023)","journal-title":"Mach. Intell. Res."},{"issue":"20","key":"3903_CR14","doi-asserted-by":"publisher","first-page":"15075","DOI":"10.1007\/s00521-023-08502-3","volume":"35","author":"J Xiao","year":"2023","unstructured":"Xiao, J., Chen, T., Hu, X., Zhang, G., Wang, S.: Boundary-guided context-aware network for camouflaged object detection. Neural Comput. Appl. 35(20), 15075\u201315093 (2023)","journal-title":"Neural Comput. Appl."},{"key":"3903_CR15","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TMM.2021.3120873","volume":"25","author":"X Lin","year":"2021","unstructured":"Lin, X., Sun, S., Huang, W., Sheng, B., Li, P., Feng, D.D.: Eapt: efficient attention pyramid transformer for image processing. IEEE Trans. Multimedia 25, 50\u201361 (2021)","journal-title":"IEEE Trans. Multimedia"},{"key":"3903_CR16","unstructured":"Mao, Y., Zhang, J., Wan, Z., Dai, Y., Li, A., Lv, Y., Tian, X., Fan, D.-P., Barnes, N.: Transformer transforms salient object detection and camouflaged object detection. arXiv preprint arXiv:2104.10127 1(2), 5 (2021)"},{"key":"3903_CR17","doi-asserted-by":"crossref","unstructured":"Yang, F., Zhai, Q., Li, X., Huang, R., Luo, A., Cheng, H., Fan, D.-P.: Uncertainty-guided transformer reasoning for camouflaged object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4146\u20134155 (2021)","DOI":"10.1109\/ICCV48922.2021.00411"},{"issue":"10","key":"3903_CR18","doi-asserted-by":"publisher","first-page":"6024","DOI":"10.1109\/TPAMI.2021.3085766","volume":"44","author":"D-P Fan","year":"2021","unstructured":"Fan, D.-P., Ji, G.-P., Cheng, M.-M., Shao, L.: Concealed object detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(10), 6024\u20136042 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"3903_CR19","doi-asserted-by":"publisher","first-page":"5708","DOI":"10.1109\/TCSVT.2021.3124952","volume":"32","author":"H Bi","year":"2021","unstructured":"Bi, H., Zhang, C., Wang, K., Tong, J., Zheng, F.: Rethinking camouflaged object detection: models and datasets. IEEE Trans. Circuits Syst. Video Technol. 32(9), 5708\u20135724 (2021)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"2","key":"3903_CR20","doi-asserted-by":"publisher","first-page":"936","DOI":"10.1109\/TSMC.2020.3005231","volume":"52","author":"G Chen","year":"2020","unstructured":"Chen, G., Wang, H., Chen, K., Li, Z., Song, Z., Liu, Y., Chen, W., Knoll, A.: A survey of the four pillars for small object detection: Multiscale representation, contextual information, super-resolution, and region proposal. IEEE Trans. Syst. Man Cybern. Syst. 52(2), 936\u2013953 (2020)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"3903_CR21","doi-asserted-by":"crossref","unstructured":"Chen, Z., Huang, S., Tao, D.: Context refinement for object detection. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 71\u201386 (2018)","DOI":"10.1007\/978-3-030-01237-3_5"},{"key":"3903_CR22","doi-asserted-by":"crossref","unstructured":"Wang, A., Sun, Y., Kortylewski, A., Yuille, A.L.: Robust object detection under occlusion with context-aware compositionalnets. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12645\u201312654 (2020)","DOI":"10.1109\/CVPR42600.2020.01266"},{"key":"3903_CR23","doi-asserted-by":"crossref","unstructured":"Liu, S., Huang, D., et al.: Receptive field block net for accurate and fast object detection. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 385\u2013400 (2018)","DOI":"10.1007\/978-3-030-01252-6_24"},{"key":"3903_CR24","doi-asserted-by":"crossref","unstructured":"Hu, H., Bai, S., Li, A., Cui, J., Wang, L.: Dense relation distillation with context-aware aggregation for few-shot object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10185\u201310194 (2021)","DOI":"10.1109\/CVPR46437.2021.01005"},{"key":"3903_CR25","doi-asserted-by":"crossref","unstructured":"Wu, Z., Su, L., Huang, Q.: Cascaded partial decoder for fast and accurate salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3907\u20133916 (2019)","DOI":"10.1109\/CVPR.2019.00403"},{"key":"3903_CR26","doi-asserted-by":"publisher","first-page":"7036","DOI":"10.1109\/TIP.2022.3217695","volume":"31","author":"T Zhou","year":"2022","unstructured":"Zhou, T., Zhou, Y., Gong, C., Yang, J., Zhang, Y.: Feature aggregation and propagation network for camouflaged object detection. IEEE Trans. Image Process. 31, 7036\u20137047 (2022)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"3903_CR27","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/s41095-022-0274-8","volume":"8","author":"W Wang","year":"2022","unstructured":"Wang, W., Xie, E., Li, X., Fan, D.-P., Song, K., Liang, D., Lu, T., Luo, P., Shao, L.: Pvt v2: improved baselines with pyramid vision transformer. Comput. Visual Media 8(3), 415\u2013424 (2022)","journal-title":"Comput. Visual Media"},{"key":"3903_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.126530","volume":"553","author":"X Li","year":"2023","unstructured":"Li, X., Li, H., Zhou, H., Yu, M., Chen, D., Li, S., Zhang, J.: Camouflaged object detection with counterfactual intervention. Neurocomputing 553, 126530 (2023)","journal-title":"Neurocomputing"},{"key":"3903_CR29","doi-asserted-by":"crossref","unstructured":"Zhu, H., Tan, X., Shao, Z., Hao, Y., Ma, L.: Multi-path feature fusion network for saliency detection. In: 2018 IEEE International Conference on Multimedia and Expo (ICME), pp. 1\u20136 (2018)","DOI":"10.1109\/ICME.2018.8486571"},{"key":"3903_CR30","doi-asserted-by":"crossref","unstructured":"Hou, Q., Cheng, M.-M., Hu, X., Borji, A., Tu, Z., Torr, P.H.: Deeply supervised salient object detection with short connections. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3203\u20133212 (2017)","DOI":"10.1109\/CVPR.2017.563"},{"key":"3903_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108644","volume":"127","author":"M Zhuge","year":"2022","unstructured":"Zhuge, M., Lu, X., Guo, Y., Cai, Z., Chen, S.: Cubenet: X-shape connection for camouflaged object detection. Pattern Recogn. 127, 108644 (2022)","journal-title":"Pattern Recogn."},{"issue":"8","key":"3903_CR32","doi-asserted-by":"publisher","first-page":"3675","DOI":"10.1007\/s00371-023-02984-x","volume":"39","author":"AH Al-Jebrni","year":"2023","unstructured":"Al-Jebrni, A.H., Ali, S.G., Li, H., Lin, X., Li, P., Jung, Y., Kim, J., Feng, D.D., Sheng, B., Jiang, L., et al.: Sthy-net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images. Vis. Comput. 39(8), 3675\u20133689 (2023)","journal-title":"Vis. Comput."},{"key":"3903_CR33","doi-asserted-by":"publisher","first-page":"3354","DOI":"10.1109\/TIP.2023.3277794","volume":"32","author":"Z Shao","year":"2023","unstructured":"Shao, Z., Zhou, Y., Cai, J., Zhu, H., Yao, R.: Facial action unit detection via adaptive attention and relation. IEEE Trans. Image Process. 32, 3354\u20133366 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"3903_CR34","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.-Y., Kweon, I.S.: Cbam: convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"3903_CR35","doi-asserted-by":"crossref","unstructured":"Park, T., Liu, M.-Y., Wang, T.-C., Zhu, J.-Y.: Semantic image synthesis with spatially-adaptive normalization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2337\u20132346 (2019)","DOI":"10.1109\/CVPR.2019.00244"},{"key":"3903_CR36","doi-asserted-by":"crossref","unstructured":"Wei, J., Wang, S., Huang, Q.: F$$^3$$net: fusion, feedback and focus for salient object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 12321\u201312328 (2020)","DOI":"10.1609\/aaai.v34i07.6916"},{"key":"3903_CR37","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.cviu.2019.04.006","volume":"184","author":"T-N Le","year":"2019","unstructured":"Le, T.-N., Nguyen, T.V., Nie, Z., Tran, M.-T., Sugimoto, A.: Anabranch network for camouflaged object segmentation. Comput. Vis. Image Underst. 184, 45\u201356 (2019)","journal-title":"Comput. Vis. Image Underst."},{"key":"3903_CR38","doi-asserted-by":"crossref","unstructured":"Lv, Y., Zhang, J., Dai, Y., Li, A., Liu, B., Barnes, N., Fan, D.-P.: Simultaneously localize, segment and rank the camouflaged objects. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11591\u201311601 (2021)","DOI":"10.1109\/CVPR46437.2021.01142"},{"key":"3903_CR39","doi-asserted-by":"crossref","unstructured":"Fan, D.-P., Cheng, M.-M., Liu, Y., Li, T., Borji, A.: Structure-measure: a new way to evaluate foreground maps. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4548\u20134557 (2017)","DOI":"10.1109\/ICCV.2017.487"},{"key":"3903_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. arXiv preprint arXiv:1805.10421 (2018)","DOI":"10.24963\/ijcai.2018\/97"},{"key":"3903_CR41","doi-asserted-by":"crossref","unstructured":"Margolin, R., Zelnik-Manor, L., Tal, A.: How to evaluate foreground maps? In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255 (2014)","DOI":"10.1109\/CVPR.2014.39"},{"key":"3903_CR42","doi-asserted-by":"crossref","unstructured":"Perazzi, F., Kr\u00e4henb\u00fchl, P., Pritch, Y., Hornung, A.: Saliency filters: Contrast based filtering for salient region detection. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 733\u2013740 (2012). IEEE","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"3903_CR43","doi-asserted-by":"crossref","unstructured":"Sun, Y., Wang, S., Chen, C., Xiang, T.-Z.: Boundary-guided camouflaged object detection. arXiv preprint arXiv:2207.00794 (2022)","DOI":"10.24963\/ijcai.2022\/186"},{"issue":"10","key":"3903_CR44","doi-asserted-by":"publisher","first-page":"4593","DOI":"10.1007\/s00371-022-02611-1","volume":"39","author":"Q Zhang","year":"2023","unstructured":"Zhang, Q., Ge, Y., Zhang, C., Bi, H.: Tprnet: camouflaged object detection via transformer-induced progressive refinement network. Vis. Comput. 39(10), 4593\u20134607 (2023)","journal-title":"Vis. Comput."},{"issue":"19","key":"3903_CR45","doi-asserted-by":"publisher","first-page":"22429","DOI":"10.1007\/s10489-023-04645-x","volume":"53","author":"C Shi","year":"2023","unstructured":"Shi, C., Ren, B., Chen, H., Zhao, L., Lin, C., Zhao, Y.: Camouflaged object detection based on context-aware and boundary refinement. Appl. Intell. 53(19), 22429\u201322445 (2023)","journal-title":"Appl. Intell."},{"key":"3903_CR46","doi-asserted-by":"crossref","unstructured":"Ma, M., Sun, B.: A cross-level interaction network based on scale-aware augmentation for camouflaged object detection. IEEE Trans. Emerg. Top. Comput. Intell. (2023)","DOI":"10.1109\/TETCI.2023.3299305"},{"key":"3903_CR47","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, H., Cheng, J., Chen, X.: Mscaf-net: a general framework for camouflaged object detection via learning multi-scale context-aware features. IEEE Trans. Circuits Syst. Video Technol. (2023)","DOI":"10.1109\/TCSVT.2023.3245883"},{"key":"3903_CR48","doi-asserted-by":"crossref","unstructured":"Luo, Z., Liu, N., Zhao, W., Yang, X., Zhang, D., Fan, D.-P., Khan, F., Han, J.: Vscode: General visual salient and camouflaged object detection with 2d prompt learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 17169\u201317180 (2024)","DOI":"10.1109\/CVPR52733.2024.01625"},{"key":"3903_CR49","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112051","volume":"299","author":"J Guan","year":"2024","unstructured":"Guan, J., Fang, X., Zhu, T., Qian, W.: Sdrnet: camouflaged object detection with independent reconstruction of structure and detail. Knowl.-Based Syst. 299, 112051 (2024)","journal-title":"Knowl.-Based Syst."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03903-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-03903-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03903-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T11:51:17Z","timestamp":1757159477000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-03903-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,21]]},"references-count":49,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["3903"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-03903-y","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,21]]},"assertion":[{"value":"24 March 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 April 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The content of our submission is not applicable to human and\/or animal studies.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}}]}}