{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T21:40:43Z","timestamp":1776721243493,"version":"3.51.2"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819543809","type":"print"},{"value":"9789819543816","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T00:00:00Z","timestamp":1763251200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T00:00:00Z","timestamp":1763251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-4381-6_4","type":"book-chapter","created":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:00:02Z","timestamp":1763190002000},"page":"49-64","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparative Analysis of\u00a0Fusion Network Models for\u00a0Colorectal Polyp Segmentation on\u00a0Heterogeneous Datasets"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0046-1064","authenticated-orcid":false,"given":"Daniela-Maria","family":"Cristea","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0931-8372","authenticated-orcid":false,"given":"Vladimir","family":"Sini\u021b\u00een","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6254-9291","authenticated-orcid":false,"given":"Laszlo-Barna","family":"Iantovics","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,16]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","unstructured":"Ali, S., et\u00a0al.: Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Med. Image Anal. 70 (2021). https:\/\/doi.org\/10.1016\/j.media.2021.102002","DOI":"10.1016\/j.media.2021.102002"},{"key":"4_CR2","doi-asserted-by":"publisher","unstructured":"Ali, S., et\u00a0al.: Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. Sci. Rep. 14 (2024). https:\/\/doi.org\/10.1038\/s41598-024-52063-x","DOI":"10.1038\/s41598-024-52063-x"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Arik, S., Iantovics, L.B.: Next generation hybrid intelligent medical diagnosis systems. In: Proceedings of the 24th International Conference on Neural Information Processing (ICONIP 2017). LNCS, vol. 10636, pp. 903\u2013912. Springer (2017)","DOI":"10.1007\/978-3-319-70090-8_92"},{"issue":"9","key":"4_CR4","doi-asserted-by":"publisher","first-page":"3166","DOI":"10.1016\/j.patcog.2012.03.002","volume":"45","author":"J Bernal","year":"2012","unstructured":"Bernal, J., S\u00e1nchez, F.J., Vilari\u00f1o, F.: Towards automatic polyp detection with a polyp appearance model. Pattern Recogn. 45(9), 3166\u20133182 (2012)","journal-title":"Pattern Recogn."},{"key":"4_CR5","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., et al.: WM-DOVA maps for accurate polyp highlighting in colonoscopy: validation vs. saliency maps from physicians. Comput. Med. Imag. Graph. 43, 99\u2013111 (2015)","journal-title":"Comput. Med. Imag. Graph."},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Blattmann, A., Rombach, R., Oktay, K., Ommer, B.: Retrieval-augmented diffusion models. arXiv preprint arXiv:2204.11824 (2022)","DOI":"10.52202\/068431-1114"},{"key":"4_CR7","doi-asserted-by":"publisher","unstructured":"Cincar, K., Sima, I.: Machine learning algorithms approach for gastrointestinal polyps classification. In: International Conference on Innovations in Intelligent Systems and Applications, INISTA, pp.\u00a01\u20136. IEEE (2020). https:\/\/doi.org\/10.1109\/INISTA49547.2020.9194659","DOI":"10.1109\/INISTA49547.2020.9194659"},{"key":"4_CR8","doi-asserted-by":"publisher","unstructured":"Fan, D.-P., et al.: PraNet: parallel reverse attention network for polyp segmentation. In: Martel, A.L., et al. (ed.) MICCAI 2020. LNCS, vol. 12266, pp. 263\u2013273. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59725-2_26","DOI":"10.1007\/978-3-030-59725-2_26"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Fletcher, S., Islam, M.: Comparing sets of patterns with the Jaccard index. Australas. J. Inf. Syst. 22 (2018)","DOI":"10.3127\/ajis.v22i0.1538"},{"key":"4_CR10","doi-asserted-by":"publisher","first-page":"12561","DOI":"10.1007\/s10462-023-10453-z","volume":"56","author":"E Goceri","year":"2023","unstructured":"Goceri, E.: Medical image data augmentation: techniques, comparisons and interpretations. Artif. Intell. Rev. 56, 12561\u201312605 (2023)","journal-title":"Artif. Intell. Rev."},{"key":"4_CR11","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Iantovics, L.B., Dehmer, M., Emmert-Streib, F.: MetrintSimil-an accurate and robust metric for comparison of similarity in intelligence of any number of cooperative multiagent systems. Symmetry 10(2) (2018)","DOI":"10.3390\/sym10020048"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Jha, D., et\u00a0al.: Kvasir-SEG: a segmented polyp dataset. In: Proceedings of International Conference on Multimedia Modeling, pp. 451\u2013462 (2020)","DOI":"10.1007\/978-3-030-37734-2_37"},{"key":"4_CR15","unstructured":"Moreu, E., McGuinness, K., O\u2019Connor, N.E.: Synthetic data for unsupervised polyp segmentation. arXiv preprint arXiv:2202.08680 (2022)"},{"key":"4_CR16","unstructured":"von Platen, P., Patil, S., et\u00a0al.: Diffusers: state-of-the-art diffusion models (2022). https:\/\/github.com\/huggingface\/diffusers"},{"key":"4_CR17","doi-asserted-by":"publisher","unstructured":"Pogorelov, K., et\u00a0al.: Kvasir: a multi-class image dataset for computer aided gastrointestinal disease detection. In: Proceedings of the ACM on Multimedia Systems Conference (MMSys), pp. 164\u2013169 (2017). https:\/\/doi.org\/10.1145\/3083187.3083212","DOI":"10.1145\/3083187.3083212"},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Raja\u00a0Babu, K.A., et\u00a0al.: Synthetic simplicity: unveiling bias in medical data augmentation. In: Data Engineering in Medical Imaging Proceedings, pp. 64\u201372. Springer-Verlag (2024)","DOI":"10.1007\/978-3-031-73748-0_7"},{"key":"4_CR19","doi-asserted-by":"publisher","unstructured":"Rombach, R., et\u00a0al.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10674\u201310685 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.01042","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"4_CR20","unstructured":"Sang, D.: BKAI-IGH-Neopolyp, Kaggle. https:\/\/kaggle.com\/competitions\/bkai-igh-neopolyp (2021)"},{"issue":"2","key":"4_CR21","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(2), 283\u2013293 (2014)","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"4_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1007\/978-3-319-26561-2_21","volume-title":"Neural Information Processing","author":"L Szil\u00e1gyi","year":"2015","unstructured":"Szil\u00e1gyi, L., Lefkovits, L., Iantovics, B., Icl\u0103nzan, D., Beny\u00f3, B.: Automatic brain tumor segmentation in multispectral MRI volumetric records. In: Arik, S., Huang, T., Lai, W.K., Liu, Q. (eds.) ICONIP 2015. LNCS, vol. 9492, pp. 174\u2013181. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-26561-2_21"},{"key":"4_CR23","unstructured":"Taher, N.B.: CVC-300 dataset (2025). https:\/\/www.kaggle.com\/datasets\/nourabentaher\/cvc-300"},{"key":"4_CR24","unstructured":"Yi, X., Walia, E., Babyn, P.: Generative ai for medical imaging: opportunities, challenges, and future directions. Radiol. Artif. Intell. 5(3) (2023)"},{"key":"4_CR25","doi-asserted-by":"publisher","unstructured":"Zhu, J.Y., et\u00a0al.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: IEEE International Conference on Computer Vision (ICCV), pp. 2242\u20132251 (2017). https:\/\/doi.org\/10.1109\/ICCV.2017.244","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-4381-6_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T20:46:24Z","timestamp":1776717984000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-4381-6_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,16]]},"ISBN":["9789819543809","9789819543816"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-4381-6_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,16]]},"assertion":[{"value":"16 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Okinawa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2025.apnns.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}