{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T01:09:01Z","timestamp":1781140141671,"version":"3.54.1"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T00:00:00Z","timestamp":1746576000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T00:00:00Z","timestamp":1746576000000},"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":["62276112"],"award-info":[{"award-number":["62276112"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jilin Province Science and Technology Development Plan Key R&D Project","award":["20230201088GX"],"award-info":[{"award-number":["20230201088GX"]}]},{"DOI":"10.13039\/100007847","name":"Natural Science Foundation of Jilin Province of China","doi-asserted-by":"crossref","award":["20210101167JC"],"award-info":[{"award-number":["20210101167JC"]}],"id":[{"id":"10.13039\/100007847","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Jilin Province Health and Wellness Technology Capacity Enhancement Project","award":["2024A034"],"award-info":[{"award-number":["2024A034"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s00530-025-01793-7","type":"journal-article","created":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T10:28:42Z","timestamp":1746613722000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Rethinking Polyp Segmentation from the Perspectives of Matching Views and Seeking Camouflage"],"prefix":"10.1007","volume":"31","author":[{"given":"Zhengfang","family":"Jiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haipeng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongping","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianzhu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingda","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,7]]},"reference":[{"issue":"3","key":"1793_CR1","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung, H., Ferlay, J., Siegel, R.L., Laversanne, M., Soerjomataram, I., Jemal, A., Bray, F.: Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71(3), 209\u2013249 (2021). https:\/\/doi.org\/10.3322\/caac.21660","journal-title":"CA Cancer J. Clin."},{"issue":"1","key":"1793_CR2","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.dld.2022.09.007","volume":"55","author":"PA Testoni","year":"2023","unstructured":"Testoni, P.A., Notaristefano, C., Soncini, M., Hassan, C., Monica, F., Radaelli, F., Triossi, O., Pasquale, L., Neri, M., Cannizzaro, R.: An Italian prospective multicenter study on colonoscopy practice and quality: What has changed in the last 10 years. Dig. Liver Dis. 55(1), 99\u2013106 (2023). https:\/\/doi.org\/10.1016\/j.dld.2022.09.007","journal-title":"Dig. Liver Dis."},{"key":"1793_CR3","doi-asserted-by":"publisher","DOI":"10.1055\/s-0031-1291666","author":"A Leufkens","year":"2012","unstructured":"Leufkens, A., Van Oijen, M., Vleggaar, F., Siersema, P.: Factors influencing the miss rate of polyps in a back-to-back colonoscopy study. Endoscopy (2012). https:\/\/doi.org\/10.1055\/s-0031-1291666","journal-title":"Endoscopy"},{"issue":"4","key":"1793_CR4","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1109\/TMI.2020.3046843","volume":"40","author":"X Guo","year":"2020","unstructured":"Guo, X., Yang, C., Liu, Y., Yuan, Y.: Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation. IEEE Trans. Med. Imaging 40(4), 1134\u20131146 (2020). https:\/\/doi.org\/10.1109\/TMI.2020.3046843","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"7","key":"1793_CR5","doi-asserted-by":"publisher","first-page":"1488","DOI":"10.1109\/TMI.2014.2314959","volume":"33","author":"AV Mamonov","year":"2014","unstructured":"Mamonov, A.V., Figueiredo, I.N., Figueiredo, P.N., Tsai, Y.-H.R.: Automated polyp detection in colon capsule endoscopy. IEEE Trans. Med. Imaging 33(7), 1488\u20131502 (2014). https:\/\/doi.org\/10.1109\/TMI.2014.2314959","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1793_CR6","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.compbiomed.2018.07.002","volume":"100","author":"A S\u00e1nchez-Gonz\u00e1lez","year":"2018","unstructured":"S\u00e1nchez-Gonz\u00e1lez, A., Garc\u00eda-Zapirain, B., Sierra-Sosa, D., Elmaghraby, A.: Automatized colon polyp segmentation via contour region analysis. Comput. Biol. Med. 100, 152\u2013164 (2018). https:\/\/doi.org\/10.1016\/j.compbiomed.2018.07.002","journal-title":"Comput. Biol. Med."},{"issue":"4","key":"1793_CR7","doi-asserted-by":"publisher","first-page":"1250","DOI":"10.1109\/JBHI.2017.2734329","volume":"22","author":"Y Yuan","year":"2017","unstructured":"Yuan, Y., Li, D., Meng, M.Q.-H.: Automatic polyp detection via a novel unified bottom-up and top-down saliency approach. IEEE J. Biomed. Health Inform. 22(4), 1250\u20131260 (2017). https:\/\/doi.org\/10.1109\/JBHI.2017.2734329","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"2","key":"1793_CR8","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1109\/TMI.2015.2487997","volume":"35","author":"N Tajbakhsh","year":"2015","unstructured":"Tajbakhsh, N., Gurudu, S.R., Liang, J.: Automated polyp detection in colonoscopy videos using shape and context information. IEEE Trans. Med. Imaging 35(2), 630\u2013644 (2015). https:\/\/doi.org\/10.1109\/TMI.2015.2487997","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1793_CR9","doi-asserted-by":"publisher","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer-assisted intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5\u20139, 2015, Proceedings, Part III 18, pp. 234\u2013241 (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"6","key":"1793_CR10","doi-asserted-by":"publisher","first-page":"1856","DOI":"10.1109\/TMI.2019.2959609","volume":"39","author":"Z Zhou","year":"2019","unstructured":"Zhou, Z., Siddiquee, M.M.R., Tajbakhsh, N., Liang, J.: Unet++: Redesigning skip connections to exploit multiscale features in image segmentation. IEEE Trans. Med. Imaging 39(6), 1856\u20131867 (2019). https:\/\/doi.org\/10.1109\/TMI.2019.2959609","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1793_CR11","doi-asserted-by":"publisher","unstructured":"Jha, D., Smedsrud, P.H., Riegler, M.A., Johansen, D., De\u00a0Lange, T., Halvorsen, P., Johansen, H.D.: Resunet++: an advanced architecture for medical image segmentation. In: 2019 IEEE International Symposium on Multimedia (ISM), pp. 225\u20132255 (2019). https:\/\/doi.org\/10.1109\/ISM46123.2019.00049","DOI":"10.1109\/ISM46123.2019.00049"},{"key":"1793_CR12","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1109\/cvpr42600.2020.00285","DOI":"10.1109\/cvpr42600.2020.00285"},{"key":"1793_CR13","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1007\/978-3-030-59725-2_26","DOI":"10.1007\/978-3-030-59725-2_26"},{"key":"1793_CR14","doi-asserted-by":"publisher","unstructured":"Ji, G.-P., Chou, Y.-C., Fan, D.-P., Chen, G., Fu, H., Jha, D., Shao, L.: Progressively normalized self-attention network for video polyp segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 142\u2013152 (2021). https:\/\/doi.org\/10.1007\/978-3-030-87193-2_14","DOI":"10.1007\/978-3-030-87193-2_14"},{"key":"1793_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3244219","volume":"72","author":"G Yue","year":"2023","unstructured":"Yue, G., Li, S., Cong, R., Zhou, T., Lei, B., Wang, T.: Attention-guided pyramid context network for polyp segmentation in colonoscopy images. IEEE Trans. Instrum. Meas. 72, 1\u201313 (2023). https:\/\/doi.org\/10.1109\/TIM.2023.3244219","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"1793_CR16","doi-asserted-by":"publisher","unstructured":"Kim, T., Lee, H., Kim, D.: Uacanet: uncertainty augmented context attention for polyp segmentation. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 2167\u20132175 (2021). https:\/\/doi.org\/10.1145\/3474085.3475375","DOI":"10.1145\/3474085.3475375"},{"key":"1793_CR17","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1016\/j.neunet.2023.11.050","volume":"170","author":"G Yue","year":"2024","unstructured":"Yue, G., Zhuo, G., Yan, W., Zhou, T., Tang, C., Yang, P., Wang, T.: Boundary uncertainty aware network for automated polyp segmentation. Neural Netw. 170, 390\u2013404 (2024). https:\/\/doi.org\/10.1016\/j.neunet.2023.11.050","journal-title":"Neural Netw."},{"key":"1793_CR18","doi-asserted-by":"publisher","unstructured":"Zhao, X., Zhang, L., Lu, H.: Automatic polyp segmentation via multi-scale subtraction network. In: Medical mmage computing and computer assisted intervention\u2013MICCAI 2021: 24th international conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part I 24, pp. 120\u2013130 (2021). Springer. https:\/\/doi.org\/10.1007\/978-3-030-87193-2_12","DOI":"10.1007\/978-3-030-87193-2_12"},{"key":"1793_CR19","doi-asserted-by":"publisher","unstructured":"Du, X., Xu, X., Ma, K.: Icgnet: integration context-based reverse-contour guidance network for polyp segmentation. In: IJCAI, pp. 877\u2013883 (2022). https:\/\/doi.org\/10.24963\/ijcai.2022\/123","DOI":"10.24963\/ijcai.2022\/123"},{"key":"1793_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109555","volume":"140","author":"T Zhou","year":"2023","unstructured":"Zhou, T., Zhou, Y., He, K., Gong, C., Yang, J., Fu, H., Shen, D.: Cross-level feature aggregation network for polyp segmentation. Pattern Recogn. 140, 109555 (2023). https:\/\/doi.org\/10.1016\/j.patcog.2023.109555","journal-title":"Pattern Recogn."},{"key":"1793_CR21","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2023.3345479","author":"J Zheng","year":"2023","unstructured":"Zheng, J., Yan, Y., Zhao, L., Pan, X.: Cgma-net: cross-level guidance and multi-scale aggregation network for polyp segmentation. IEEE J. Biomed. Health Inform. (2023). https:\/\/doi.org\/10.1109\/jbhi.2023.3345479","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"1793_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2022.102110","volume":"101","author":"H Yang","year":"2022","unstructured":"Yang, H., Chen, Q., Fu, K., Zhu, L., Jin, L., Qiu, B., Ren, Q., Du, H., Lu, Y.: Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling. Comput. Med. Imaging Graph. 101, 102110 (2022). https:\/\/doi.org\/10.1016\/j.compmedimag.2022.102110","journal-title":"Comput. Med. Imaging Graph."},{"key":"1793_CR23","doi-asserted-by":"publisher","unstructured":"Zhang, D., Zhang, H., Tang, J., Wang, M., Hua, X., Sun, Q.: Feature pyramid transformer. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXVIII 16, pp. 323\u2013339 (2020). https:\/\/doi.org\/10.1007\/978-3-030-58604-1_20","DOI":"10.1007\/978-3-030-58604-1_20"},{"key":"1793_CR24","doi-asserted-by":"publisher","unstructured":"Dong, B., Wang, W., Fan, D.-P., Li, J., Fu, H., Shao, L.: Polyp-pvt: Polyp segmentation with pyramid vision transformers (2021). arXiv preprint arXiv:2108.06932. https:\/\/doi.org\/10.48550\/arXiv.2108.06932","DOI":"10.48550\/arXiv.2108.06932"},{"issue":"4573","key":"1793_CR25","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1126\/science.7134969","volume":"218","author":"L Chen","year":"1982","unstructured":"Chen, L.: Topological structure in visual perception. Science 218(4573), 699\u2013700 (1982). https:\/\/doi.org\/10.1126\/science.7134969","journal-title":"Science"},{"key":"1793_CR26","doi-asserted-by":"publisher","first-page":"6396","DOI":"10.1109\/tip.2022.3189828","volume":"31","author":"P Li","year":"2022","unstructured":"Li, P., Yan, X., Zhu, H., Wei, M., Zhang, X.-P., Qin, J.: Findnet: can you find me? boundary-and-texture enhancement network for camouflaged object detection. IEEE Trans. Image Process. 31, 6396\u20136411 (2022). https:\/\/doi.org\/10.1109\/tip.2022.3189828","journal-title":"IEEE Trans. Image Process."},{"key":"1793_CR27","doi-asserted-by":"publisher","unstructured":"Tomar, N.K., Jha, D., Bagci, U., Ali, S.: Tganet: Text-guided attention for improved polyp segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 151\u2013160 (2022). https:\/\/doi.org\/10.1007\/978-3-031-16437-8_15","DOI":"10.1007\/978-3-031-16437-8_15"},{"key":"1793_CR28","doi-asserted-by":"publisher","unstructured":"Lou, A., Guan, S., Ko, H., Loew, M.H.: Caranet: context axial reverse attention network for segmentation of small medical objects. In: Medical Imaging 2022: Image Processing, vol. 12032, pp. 81\u201392 (2022). https:\/\/doi.org\/10.1117\/1.jmi.10.1.014005","DOI":"10.1117\/1.jmi.10.1.014005"},{"key":"1793_CR29","doi-asserted-by":"publisher","unstructured":"Wei, J., Hu, Y., Zhang, R., Li, Z., Zhou, S.K., Cui, S.: Shallow attention network for polyp segmentation. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part I 24, pp. 699\u2013708 (2021). https:\/\/doi.org\/10.1007\/978-3-030-87193-2_66","DOI":"10.1007\/978-3-030-87193-2_66"},{"key":"1793_CR30","doi-asserted-by":"publisher","unstructured":"Zhang, Y., Liu, H., Hu, Q.: Transfuse: Fusing transformers and cnns for medical image segmentation. In: Medical Image Computing and Computer Assisted Intervention\u2014MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part I 24, pp. 14\u201324 (2021). https:\/\/doi.org\/10.1007\/978-3-030-87193-2_2","DOI":"10.1007\/978-3-030-87193-2_2"},{"key":"1793_CR31","doi-asserted-by":"publisher","unstructured":"Wang, J., Huang, Q., Tang, F., Meng, J., Su, J., Song, S.: Stepwise feature fusion: local guides global. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 110\u2013120 (2022). https:\/\/doi.org\/10.1007\/978-3-031-16437-8_11","DOI":"10.1007\/978-3-031-16437-8_11"},{"key":"1793_CR32","doi-asserted-by":"publisher","unstructured":"Zhao, J.-X., Liu, J.-J., Fan, D.-P., Cao, Y., Yang, J., Cheng, M.-M.: Egnet: edge guidance network for salient object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8779\u20138788 (2019). https:\/\/doi.org\/10.1109\/iccv.2019.00887","DOI":"10.1109\/iccv.2019.00887"},{"key":"1793_CR33","doi-asserted-by":"publisher","unstructured":"Nguyen, T.-C., Nguyen, T.-P., Diep, G.-H., Tran-Dinh, A.-H., Nguyen, T.V., Tran, M.-T.: Ccbanet: cascading context and balancing attention for polyp segmentation. In: Medical Image Computing and Computer Assisted Intervention\u2014MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part I 24, pp. 633\u2013643 (2021). https:\/\/doi.org\/10.1007\/978-3-030-87193-2_60","DOI":"10.1007\/978-3-030-87193-2_60"},{"issue":"8","key":"1793_CR34","doi-asserted-by":"publisher","first-page":"4090","DOI":"10.1109\/jbhi.2022.3173948","volume":"26","author":"G Yue","year":"2022","unstructured":"Yue, G., Han, W., Jiang, B., Zhou, T., Cong, R., Wang, T.: Boundary constraint network with cross layer feature integration for polyp segmentation. IEEE J. Biomed. Health Inform. 26(8), 4090\u20134099 (2022). https:\/\/doi.org\/10.1109\/jbhi.2022.3173948","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"1793_CR35","doi-asserted-by":"publisher","unstructured":"Qiu, Z., Wang, Z., Zhang, M., Xu, Z., Fan, J., Xu, L.: Bdg-net: boundary distribution guided network for accurate polyp segmentation. In: Medical Imaging 2022: Image Processing, vol. 12032, pp. 792\u2013799 (2022). https:\/\/doi.org\/10.1117\/12.2606785","DOI":"10.1117\/12.2606785"},{"key":"1793_CR36","doi-asserted-by":"publisher","unstructured":"Chen, R., Wang, X., Jin, B., Tu, J., Zhu, F., Li, Y.: Cld-net: Complement local detail for medical small-object segmentation. In: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 942\u2013947 (2022). https:\/\/doi.org\/10.1109\/bibm55620.2022.9995217","DOI":"10.1109\/bibm55620.2022.9995217"},{"key":"1793_CR37","doi-asserted-by":"publisher","DOI":"10.1109\/tcsii.2023.3333436","author":"G Li","year":"2023","unstructured":"Li, G., Bai, Z., Liu, Z.: Texture-semantic collaboration network for orsi salient object detection. IEEE Trans. Circuits Syst. II Express Briefs (2023). https:\/\/doi.org\/10.1109\/tcsii.2023.3333436","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"},{"key":"1793_CR38","doi-asserted-by":"publisher","unstructured":"Zhu, J., Zhang, X., Zhang, S., Liu, J.: Inferring camouflaged objects by texture-aware interactive guidance network. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 3599\u20133607 (2021). https:\/\/doi.org\/10.1609\/aaai.v35i4.16475","DOI":"10.1609\/aaai.v35i4.16475"},{"issue":"3","key":"1793_CR39","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. Vis. Media 8(3), 415\u2013424 (2022). https:\/\/doi.org\/10.1007\/s41095-022-0274-8","journal-title":"Comput. Vis. Media"},{"key":"1793_CR40","doi-asserted-by":"publisher","unstructured":"Sun, Y., Wang, S., Chen, C., Xiang, T.-Z.: Boundary-guided camouflaged object detection. In: IJCAI, pp. 1335\u20131341 (2022). https:\/\/doi.org\/10.24963\/ijcai.2022\/186","DOI":"10.24963\/ijcai.2022\/186"},{"key":"1793_CR41","doi-asserted-by":"publisher","unstructured":"Te, G., Liu, Y., Hu, W., Shi, H., Mei, T.: Edge-aware graph representation learning and reasoning for face parsing. In: Computer Vision\u2014ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XII 16, pp. 258\u2013274 (2020). https:\/\/doi.org\/10.1007\/978-3-030-58610-2_16","DOI":"10.1007\/978-3-030-58610-2_16"},{"key":"1793_CR42","doi-asserted-by":"publisher","unstructured":"Chen, Y., Rohrbach, M., Yan, Z., Shuicheng, Y., Feng, J., Kalantidis, Y.: Graph-based global reasoning networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 433\u2013442 (2019). https:\/\/doi.org\/10.1109\/cvpr.2019.00052","DOI":"10.1109\/cvpr.2019.00052"},{"key":"1793_CR43","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1609\/aaai.v34i07.6916","DOI":"10.1609\/aaai.v34i07.6916"},{"key":"1793_CR44","doi-asserted-by":"publisher","unstructured":"Milletari, F., Navab, N., Ahmadi, S.-A.: V-net: Fully convolutional neural networks for volumetric medical image segmentation. In: 2016 Fourth International Conference on 3D Vision (3DV), pp. 565\u2013571 (2016). https:\/\/doi.org\/10.1109\/3dv.2016.79","DOI":"10.1109\/3dv.2016.79"},{"key":"1793_CR45","doi-asserted-by":"publisher","unstructured":"Jha, D., Smedsrud, P.H., Riegler, M.A., Halvorsen, P., De\u00a0Lange, T., Johansen, D., Johansen, H.D.: Kvasir-seg: a segmented polyp dataset. In: MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5\u20138, 2020, Proceedings, Part II 26, pp. 451\u2013462 (2020). https:\/\/doi.org\/10.1007\/978-3-030-37734-2_37","DOI":"10.1007\/978-3-030-37734-2_37"},{"key":"1793_CR46","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, F.J., Fern\u00e1ndez-Esparrach, G., Gil, D., Rodr\u00edguez, C., Vilari\u00f1o, F.: Wm-dova maps for accurate polyp highlighting in colonoscopy: validation vs. saliency maps from physicians. Comput. Med. Imaging Gr. 43, 99\u2013111 (2015). https:\/\/doi.org\/10.1016\/j.compmedimag.2015.02.007","journal-title":"Comput. Med. Imaging Gr."},{"key":"1793_CR47","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4037190","author":"D V\u00e1zquez","year":"2017","unstructured":"V\u00e1zquez, D., Bernal, J., S\u00e1nchez, F.J., Fern\u00e1ndez-Esparrach, G., L\u00f3pez, A.M., Romero, A., Drozdzal, M., Courville, A.: A benchmark for endoluminal scene segmentation of colonoscopy images. J. Healthc. Eng. (2017). https:\/\/doi.org\/10.1155\/2017\/4037190","journal-title":"J. Healthc. Eng."},{"key":"1793_CR48","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/s11548-013-0926-3","volume":"9","author":"J Silva","year":"2014","unstructured":"Silva, J., Histace, A., Romain, O., Dray, X., Granado, B.: Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer. Int. J. Comput. Assist. Radiol. Surg. 9, 283\u2013293 (2014). https:\/\/doi.org\/10.1007\/s11548-013-0926-3","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"1793_CR49","doi-asserted-by":"publisher","unstructured":"Zhang, R., Li, G., Li, Z., Cui, S., Qian, D., Yu, Y.: Adaptive context selection for polyp segmentation. In: Medical Image Computing and Computer Assisted Intervention\u2014MICCAI 2020: 23rd International Conference, Lima, Peru, October 4\u20138, 2020, Proceedings, Part VI 23, pp. 253\u2013262 (2020). https:\/\/doi.org\/10.1007\/978-3-030-59725-2_25","DOI":"10.1007\/978-3-030-59725-2_25"},{"key":"1793_CR50","doi-asserted-by":"publisher","unstructured":"Zhang, R., Lai, P., Wan, X., Fan, D.-J., Gao, F., Wu, X.-J., Li, G.: Lesion-aware dynamic kernel for polyp segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 99\u2013109 (2022). https:\/\/doi.org\/10.1007\/978-3-031-16437-8_10","DOI":"10.1007\/978-3-031-16437-8_10"},{"key":"1793_CR51","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2023.3273728","author":"M Wang","year":"2023","unstructured":"Wang, M., An, X., Pei, Z., Li, N., Zhang, L., Liu, G., Ming, D.: An efficient multi-task synergetic network for polyp segmentation and classification. IEEE J. Biomed. Health Inform. (2023). https:\/\/doi.org\/10.1109\/jbhi.2023.3273728","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"1793_CR52","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3370685","author":"T Zhou","year":"2024","unstructured":"Zhou, T., Zhou, Y., Li, G., Chen, G., Shen, J.: Uncertainty-aware hierarchical aggregation network for medical image segmentation. IEEE Trans. Circuits Syst. Video Technol. (2024). https:\/\/doi.org\/10.1109\/TCSVT.2024.3370685","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1793_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112181","volume":"300","author":"L Lin","year":"2024","unstructured":"Lin, L., Lv, G., Wang, B., Xu, C., Liu, J.: Polyp-lvt: Polyp segmentation with lightweight vision transformers. Knowl.-Based Syst. 300, 112181 (2024).\u00a0https:\/\/doi.org\/10.1016\/j.knosys.2024.112181","journal-title":"Knowl.-Based Syst."},{"key":"1793_CR54","doi-asserted-by":"crossref","unstructured":"Bui, N.-T., Hoang, D.-H., Nguyen, Q.-T., Tran, M.-T., Le, N.: Meganet: Multi-scale edge-guided attention network for weak boundary polyp segmentation. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 7985\u20137994 (2024)","DOI":"10.1109\/WACV57701.2024.00780"},{"issue":"1","key":"1793_CR55","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1038\/s41597-023-01981-y","volume":"10","author":"S Ali","year":"2023","unstructured":"Ali, S., Jha, D., Ghatwary, N., Realdon, S., Cannizzaro, R., Salem, O.E., Lamarque, D., Daul, C., Riegler, M.A., Anonsen, K.V.: A multi-centre polyp detection and segmentation dataset for generalisability assessment. Sci. Data 10(1), 75 (2023).\u00a0https:\/\/doi.org\/10.1038\/s41597-023-01981-y","journal-title":"Sci. Data"},{"issue":"10","key":"1793_CR56","doi-asserted-by":"publisher","first-page":"3008","DOI":"10.1109\/tmi.2020.2983721","volume":"39","author":"S Feng","year":"2020","unstructured":"Feng, S., Zhao, H., Shi, F., Cheng, X., Wang, M., Ma, Y., Xiang, D., Zhu, W., Chen, X.: Cpfnet: context pyramid fusion network for medical image segmentation. IEEE Trans. Med. Imaging 39(10), 3008\u20133018 (2020). https:\/\/doi.org\/10.1109\/tmi.2020.2983721","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1793_CR57","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102293","volume":"75","author":"D Dai","year":"2022","unstructured":"Dai, D., Dong, C., Xu, S., Yan, Q., Li, Z., Zhang, C., Luo, N.: Ms red: a novel multi-scale residual encoding and decoding network for skin lesion segmentation. Med. Image Anal. 75, 102293 (2022). https:\/\/doi.org\/10.1016\/j.media.2021.102293","journal-title":"Med. Image Anal."},{"key":"1793_CR58","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102327","volume":"76","author":"H Wu","year":"2022","unstructured":"Wu, H., Chen, S., Chen, G., Wang, W., Lei, B., Wen, Z.: Fat-net: feature adaptive transformers for automated skin lesion segmentation. Med. Image Anal. 76, 102327 (2022). https:\/\/doi.org\/10.1016\/j.media.2021.102327","journal-title":"Med. Image Anal."},{"key":"1793_CR59","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107081","author":"Z Yu","year":"2023","unstructured":"Yu, Z., Yu, L., Zheng, W., Wang, S.: Eiu-net: enhanced feature extraction and improved skip connections in u-net for skin lesion segmentation. Comput. Biol. Med. (2023). https:\/\/doi.org\/10.1016\/j.compbiomed.2023.107081","journal-title":"Comput. Biol. Med."},{"key":"1793_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104608","volume":"82","author":"X Wei","year":"2023","unstructured":"Wei, X., Ye, F., Wan, H., Xu, J., Min, W.: Tanet: triple attention network for medical image segmentation. Biomed. Signal Process. Control 82, 104608 (2023). https:\/\/doi.org\/10.1016\/j.bspc.2023.104608","journal-title":"Biomed. Signal Process. Control"},{"key":"1793_CR61","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108995","volume":"133","author":"L Song","year":"2023","unstructured":"Song, L., Wang, H., Wang, Z.J.: Decoupling multi-task causality for improved skin lesion segmentation and classification. Pattern Recogn. 133, 108995 (2023). https:\/\/doi.org\/10.1016\/j.patcog.2022.108995","journal-title":"Pattern Recogn."},{"key":"1793_CR62","doi-asserted-by":"publisher","unstructured":"Codella, N.C., Gutman, D., Celebi, M.E., Helba, B., Marchetti, M.A., Dusza, S.W., Kalloo, A., Liopyris, K., Mishra, N., Kittler, H.: Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin imaging collaboration (isic). In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 168\u2013172 (2018). https:\/\/doi.org\/10.1109\/isbi.2018.8363547","DOI":"10.1109\/isbi.2018.8363547"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-01793-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-025-01793-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-01793-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T09:03:18Z","timestamp":1757926998000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-025-01793-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,7]]},"references-count":62,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["1793"],"URL":"https:\/\/doi.org\/10.1007\/s00530-025-01793-7","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,7]]},"assertion":[{"value":"21 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 May 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 have no conflict of interest to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}}],"article-number":"235"}}