{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T05:15:51Z","timestamp":1769836551592,"version":"3.49.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031808708","type":"print"},{"value":"9783031808715","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-80871-5_2","type":"book-chapter","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T10:15:21Z","timestamp":1738923321000},"page":"17-28","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Dinov2_Mask R-CNN: Self-supervised Instance Segmentation of Diabetic Foot Ulcers"],"prefix":"10.1007","author":[{"given":"Yun ji","family":"Ban","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seihyoung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiwon","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeong Eun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyun Seo","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seungwan","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,8]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Yap, M.H., et al.: Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Med. Image Anal. 94, 103153 (2024)","DOI":"10.1016\/j.media.2024.103153"},{"issue":"1","key":"2_CR2","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1109\/TPAMI.2022.3152247","volume":"45","author":"K Han","year":"2022","unstructured":"Han, K., et al.: A survey on vision transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(1), 87\u2013110 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2_CR3","unstructured":"Oquab, M., Darcet, T., Moutakanni, T., Vo, H., Szafraniec, M., et al.: DINOv2: Learning robust visual features without supervision. Trans. Mach. Learn. Res. 2024 (2024)"},{"key":"2_CR4","first-page":"1597","volume":"119","author":"T Chen","year":"2020","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. Int. Conf. Mach. Learn. PMLR 119, 1597\u20131607 (2020)","journal-title":"Int. Conf. Mach. Learn. PMLR"},{"key":"2_CR5","unstructured":"Grill, J.-B., et al.: Bootstrap your own latent-a new approach to self-supervised learning. In: Advances in Neural Information Processing Systems 33, NeurIPS 2020, pp. 21271\u201321284 (2020)"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Ayzenberg, L., Giryes, R., Greenspan, H.: DINOv2 based self supervised learning for few shot medical image segmentation. In: 2024 IEEE International Symposium on Biomedical Imaging, pp. 1\u20135 (2024)","DOI":"10.1109\/ISBI56570.2024.10635439"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 1440\u20131448 (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Dollar, P., Girshick, R.: Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Caron, M., et al.: Emerging properties in self-supervised vision transformers. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 9650\u20139660 (2021)","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Br\u00fcngel, R., et al.: Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods. Diabetic Foot Ulcers Grand Challenge, Springer Lecture Notes in Computer Science LNCS (2024)","DOI":"10.1007\/978-3-031-80871-5_10"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Gharawi, A., Mohammad, D.A., Ramaswamy, L.: Self-supervised skin lesion segmentation: an annotation-free approach. Mathematics 11(18), 3805 (2023)","DOI":"10.3390\/math11183805"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Yap, M.H., et al.: Development of diabetic foot ulcer datasets: an overview. Diabetic Foot Ulcers Grand Challenge, DFUC 2021, Lecture Notes in Computer Science, vol. 13183, pp. 1\u201318 (2021)","DOI":"10.1007\/978-3-030-94907-5_1"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Yap, M.H., Cassidy, B., Pappachan, J.M., O\u2019Shea, C., Gillespie, D., Reeves, N.D.: Analysis towards classification of infection and ischaemia of diabetic foot ulcers. In: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Athens, Greece, 2021, pp. 1\u20134, IEEE (2021)","DOI":"10.1109\/BHI50953.2021.9508563"},{"key":"2_CR14","unstructured":"Cassidy, B., et al.: The DFUC 2020 dataset: analysis towards diabetic foot ulcer detection. touchREVIEWS in Endocrinology 2021 Apr; 17(1), 5\u201311 (2021)"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Goyal, M., Reeves, N.D., Rajbhandari, S., Yap, M.H.: Robust methods for real-time diabetic foot ulcer detection and localization on mobile devices. IEEE J. Biomed. Health Inf. 23(4), 1730\u20131741 (2018)","DOI":"10.1109\/JBHI.2018.2868656"},{"issue":"5","key":"2_CR16","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1109\/TETCI.2018.2866254","volume":"4","author":"M Goyal","year":"2020","unstructured":"Goyal, M., Reeves, N.D., Davison, A.K., Rajbhandari, S., Spragg, J., Yap, M.H.: DFUNet: convolutional neural networks for diabetic foot ulcer classification. IEEE Trans. Emerg. Top. Comput. Intell. 4(5), 728\u2013739 (2020)","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"2_CR17","doi-asserted-by":"crossref","unstructured":"Goyal, M., Reeves, N.D., Rajbhandari, S., Ahmad, N., Wang, C., Yap, M.H.: Recognition of ischaemia and infection in diabetic foot ulcers: dataset and techniques. Comput. Biol. Med. 117, 103616 (2020)","DOI":"10.1016\/j.compbiomed.2020.103616"},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Gan, T., Jin, Z., Yu, L., Liang, X., Zhang, H., Ye, X.: Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection. Sci. Rep. 13, 21655 (2023)","DOI":"10.1038\/s41598-023-49057-6"},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"Liu, Y.X., Chen, X., Abbeel, P.: Self-supervised instance segmentation by grasping. In: 2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, pp. 1162\u20131169 (2023)","DOI":"10.1109\/IROS55552.2023.10342432"}],"container-title":["Lecture Notes in Computer Science","Diabetic Foot Ulcers Grand Challenge"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-80871-5_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T14:59:31Z","timestamp":1740581971000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-80871-5_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031808708","9783031808715"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-80871-5_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"8 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DFUC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Diabetic Foot Ulcers Grand Challenge","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dfuc2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dfu-challenge.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}