{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:18:49Z","timestamp":1778080729102,"version":"3.51.4"},"publisher-location":"Cham","reference-count":45,"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_1","type":"book-chapter","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T10:15:40Z","timestamp":1738923340000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Translating Clinical Delineation of\u00a0Diabetic Foot Ulcers into Machine Interpretable Segmentation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3623-6598","authenticated-orcid":false,"given":"Connah","family":"Kendrick","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3741-8120","authenticated-orcid":false,"given":"Bill","family":"Cassidy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0886-5255","authenticated-orcid":false,"given":"Joseph M.","family":"Pappachan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claire","family":"O\u2019Shea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cornelious J.","family":"Fernandez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elias","family":"Chacko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koshy","family":"Jacob","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9213-4580","authenticated-orcid":false,"given":"Neil D.","family":"Reeves","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7681-4287","authenticated-orcid":false,"given":"Moi Hoon","family":"Yap","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,8]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Ghanassia, E., Villon, L., Thuan dit Dieudonne, J.F., Boegner, C., Avignon, A., Sultan, A.: Long-term outcome and disability of diabetic patients hospitalized for diabetic foot ulcers: a 6.5-year follow-up study. Diab. Care 31(7), 1288\u20131292 (2008)","DOI":"10.2337\/dc07-2145"},{"issue":"24","key":"1_CR2","doi-asserted-by":"publisher","first-page":"2367","DOI":"10.1056\/NEJMra1615439","volume":"376","author":"DG Armstrong","year":"2017","unstructured":"Armstrong, D.G., Boulton, A.J.M., Bus, S.A.: Diabetic foot ulcers and their recurrence. New Engl. J. Med. 376(24), 2367\u20132375 (2017)","journal-title":"New Engl. J. Med."},{"key":"1_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2020.108621","volume":"172","author":"K Ogurtsova","year":"2021","unstructured":"Ogurtsova, K., Morbach, S., Haastert, B., Dubsk\u1ef3, M., R\u00fcmenapf, G., Ziegler, D., Jirkovska, A., Icks, A.: Cumulative long-term recurrence of diabetic foot ulcers in two cohorts from centres in Germany and the Czech Republic. Diab. Res. Clin. Pract. 172, 108621 (2021)","journal-title":"Diab. Res. Clin. Pract."},{"issue":"10","key":"1_CR4","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.2337\/diacare.28.10.2378","volume":"28","author":"L Vileikyte","year":"2005","unstructured":"Vileikyte, L., et al.: Diabetic peripheral neuropathy and depressive symptoms: the association revisited. Diab. Care 28(10), 2378\u20132383 (2005)","journal-title":"Diab. Care"},{"issue":"5","key":"1_CR5","doi-asserted-by":"publisher","first-page":"411","DOI":"10.14740\/jocmr3352w","volume":"10","author":"A Ahmad","year":"2018","unstructured":"Ahmad, A., Abujbara, M., Jaddou, H., Younes, N.A., Ajlouni, K.: Anxiety and depression among adult patients with diabetic foot: prevalence and associated factors. J. Clin. Med. Res. 10(5), 411 (2018)","journal-title":"J. Clin. Med. Res."},{"issue":"1","key":"1_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11892-018-0970-z","volume":"18","author":"FM Davis","year":"2018","unstructured":"Davis, F.M., Kimball, A., Boniakowski, A., Gallagher, K.: Dysfunctional wound healing in diabetic foot ulcers: new crossroads. Curr. Diab.Rep. 18(1), 1\u20138 (2018). https:\/\/doi.org\/10.1007\/s11892-018-0970-z","journal-title":"Curr. Diab.Rep."},{"key":"1_CR7","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.jcot.2021.01.017","volume":"17","author":"M Edmonds","year":"2021","unstructured":"Edmonds, M., Manu, C., Vas, P.: The current burden of diabetic foot disease. J. Clin. Orthopaed. Trauma 17, 88\u201393 (2021)","journal-title":"J. Clin. Orthopaed. Trauma"},{"issue":"1","key":"1_CR8","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.clindermatol.2006.09.015","volume":"25","author":"HM Rathur","year":"2007","unstructured":"Rathur, H.M., Boulton, A.J.M.: The diabetic foot. Clin. Dermatol. 25(1), 109\u2013120 (2007)","journal-title":"Clin. Dermatol."},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Sorber, R., Abularrage, C.J.: Diabetic foot ulcers: epidemiology and the role of multidisciplinary care teams. In: Seminars in Vascular Surgery, vol. 34, pp. 47\u201353. Elsevier (2021)","DOI":"10.1053\/j.semvascsurg.2021.02.006"},{"issue":"5","key":"1_CR10","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1021\/acs.accounts.0c00864","volume":"54","author":"M Chang","year":"2021","unstructured":"Chang, M., Nguyen, T.T.: Strategy for treatment of infected diabetic foot ulcers. Accounts Chem. Res.d 54(5), 1080\u20131093 (2021)","journal-title":"Accounts Chem. Res.d"},{"key":"1_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpharm.2021.120423","volume":"599","author":"K Glover","year":"2021","unstructured":"Glover, K., Stratakos, A.C., Varadi, A., Lamprou, D.A.: 3D scaffolds in the treatment of diabetic foot ulcers: new trends vs conventional approaches. Int. J. Pharmaceut. 599, 120423 (2021)","journal-title":"Int. J. Pharmaceut."},{"issue":"8","key":"1_CR12","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1111\/dme.13973","volume":"36","author":"M Kerr","year":"2019","unstructured":"Kerr, M., et al.: The cost of diabetic foot ulcers and amputations to the national health service in England. Diab. Med. 36(8), 995\u20131002 (2019)","journal-title":"Diab. Med."},{"issue":"3","key":"1_CR13","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1111\/iwj.13540","volume":"18","author":"ZJ Lo","year":"2021","unstructured":"Lo, Z.J., Surendra, N.K., Saxena, A., Car, J.: Clinical and economic burden of diabetic foot ulcers: a 5-year longitudinal multi-ethnic cohort study from the tropics. Int. Wound J. 18(3), 375\u2013386 (2021)","journal-title":"Int. Wound J."},{"key":"1_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2021.109119","volume":"183","author":"H Sun","year":"2021","unstructured":"Sun, H., et al.: IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diab. Res. Clin. Pract. 183, 109119 (2021)","journal-title":"Diab. Res. Clin. Pract."},{"key":"1_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104596","volume":"135","author":"MH Yap","year":"2021","unstructured":"Yap, M.H., et al.: Deep learning in diabetic foot ulcers detection: a comprehensive evaluation. Comput. Biol. Med. 135, 104596 (2021)","journal-title":"Comput. Biol. Med."},{"key":"1_CR16","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), pp. 1\u20134 (2021)","DOI":"10.1109\/BHI50953.2021.9508563"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Cassidy, B., et al.: Diabetic foot ulcer grand challenge 2021: evaluation and summary, pp. 90\u2013105 (2022)","DOI":"10.1007\/978-3-030-94907-5_7"},{"key":"1_CR18","doi-asserted-by":"crossref","unstructured":"Yap, M.H., Kendrick, C., Reeves, N., Goyal, M., Pappachan, J., Cassidy, B.: Development of diabetic foot ulcer datasets: an overview, pp. 1\u201318 (2022)","DOI":"10.1007\/978-3-030-94907-5_1"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Reeves, N.D., Cassidy, B., Abbott, C.A., Yap, M.H.: Chapter 7 - novel technologies for detection and prevention of diabetic foot ulcers. In: Gefen, A. (ed.) The Science, Etiology and Mechanobiology of Diabetes and its Complications, pp. 107\u2013122. Academic Press (2021)","DOI":"10.1016\/B978-0-12-821070-3.00007-6"},{"key":"1_CR20","unstructured":"Cassidy, B., et al.: A cloud-based deep learning framework for remote detection of diabetic foot ulcers. arXiv preprint arXiv:2004.11853 (2021)"},{"key":"1_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103153","volume":"94","author":"MH Yap","year":"2024","unstructured":"Yap, M.H., et al.: Diabetic foot ulcers segmentation challenge report: benchmark and analysis. Med. Image Anal. 94, 103153 (2024)","journal-title":"Med. Image Anal."},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Cassidy, B., et al.: The dfuc 2020 dataset: analysis towards diabetic foot ulcer detection. touchREVIEWS Endocrinol. 17, 5\u201311 (2021)","DOI":"10.17925\/EE.2021.17.1.5"},{"key":"1_CR23","unstructured":"Wang, C., et al.: Fuseg: the foot ulcer segmentation challenge (2022)"},{"issue":"1","key":"1_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-020-78799-w","volume":"10","author":"C Wang","year":"2020","unstructured":"Wang, C., et al.: Fully automatic wound segmentation with deep convolutional neural networks. Sci. Rep. 10(1), 1\u20139 (2020)","journal-title":"Sci. Rep."},{"key":"1_CR25","unstructured":"Thomas, S.: Medetec (2020). Accessed 08 Nov 2021"},{"key":"1_CR26","doi-asserted-by":"crossref","unstructured":"Wang, C., et al.: Fuseg: the foot ulcer segmentation challenge. Information 15(3) (2024)","DOI":"10.3390\/info15030140"},{"key":"1_CR27","doi-asserted-by":"crossref","unstructured":"Goyal, M., Yap, M.H., Reeves, N.D.,\u00a0Rajbhandari, S.,\u00a0Spragg, J.: Fully convolutional networks for diabetic foot ulcer segmentation. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 618\u2013623 (2017)","DOI":"10.1109\/SMC.2017.8122675"},{"key":"1_CR28","doi-asserted-by":"crossref","unstructured":"Mahbod, A., Ecker, R., Ellinger, I.: Automatic foot ulcer segmentation using an ensemble of convolutional neural networks (2021)","DOI":"10.1109\/ICPR56361.2022.9956253"},{"key":"1_CR29","doi-asserted-by":"crossref","unstructured":"Yap, M.H., Kendrick, C., Cassidy, B.: Diabetic Foot Ulcers Grand Challenge: Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, 22 September 2022, Proceedings, vol. 13797. Springer, Heidelberg (2023)","DOI":"10.1007\/978-3-031-26354-5_10"},{"key":"1_CR30","doi-asserted-by":"crossref","unstructured":"Liao, T.Y., et al.: Hardnet-dfus: enhancing backbone and decoder of hardnet-mseg for diabetic foot ulcer image segmentation. In: Diabetic Foot Ulcers Grand Challenge: Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, 22 September 2022, Proceedings, pp. 21\u201330. Springer, Heidelberg (2023)","DOI":"10.1007\/978-3-031-26354-5_2"},{"key":"1_CR31","unstructured":"Dutta, A.,\u00a0Gupta, A.,\u00a0Zissermann, A.: VGG image annotator (VIA). https:\/\/github.com\/ox-vgg\/via (2016). Version: 2.0.10. Accessed July 2020"},{"key":"1_CR32","unstructured":"Kroon, D.J.: Snake: Active contour. Accessed Jan 2022"},{"key":"1_CR33","unstructured":"Goyal, M., Yap, M.H.: Multi-class semantic segmentation of skin lesions via fully convolutional networks. arXiv preprint arXiv:1711.10449 (2017)"},{"issue":"4","key":"1_CR34","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","volume":"40","author":"LC Chen","year":"2017","unstructured":"Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4), 834\u2013848 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1_CR35","doi-asserted-by":"crossref","unstructured":"Khan, Z., Yahya, N., Alsaih, K., Ali, S.S.A., Meriaudeau, F. Evaluation of deep neural networks for semantic segmentation of prostate in t2w mri. Sensors 20(11) (2020)","DOI":"10.3390\/s20113183"},{"key":"1_CR36","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/978-3-030-66415-2_16","volume-title":"Computer Vision \u2013 ECCV 2020 Workshops","author":"R Azad","year":"2020","unstructured":"Azad, R., Asadi-Aghbolaghi, M., Fathy, M., Escalera, S.: Attention Deeplabv3+: multi-level context attention mechanism for skin lesion segmentation. In: Bartoli, A., Fusiello, A. (eds.) ECCV 2020. LNCS, vol. 12535, pp. 251\u2013266. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-66415-2_16"},{"key":"1_CR37","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"1_CR38","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"issue":"12","key":"1_CR39","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","volume":"39","author":"V Badrinarayanan","year":"2017","unstructured":"Badrinarayanan, V., Kendall, A., Cipolla, R.: Segnet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(12), 2481\u20132495 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1_CR40","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"1_CR41","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"1_CR42","unstructured":"Zeiler, M.D.: ADADELTA: an adaptive learning rate method (2012)"},{"issue":"2","key":"1_CR43","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","volume":"18","author":"F Isensee","year":"2021","unstructured":"Isensee, F., Jaeger, P.F., Kohl, S.A.A., Petersen, J., Maier-Hein, K.H.: nnu-net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2), 203\u2013211 (2021)","journal-title":"Nat. Methods"},{"key":"1_CR44","unstructured":"Maier-Hein, L., et\u00a0al.: Metrics reloaded: recommendations for image analysis validation (2023). arXiv preprint arXiv:2206.01653"},{"key":"1_CR45","doi-asserted-by":"crossref","unstructured":"Chen, L., Wu, Y., Stegmaier, J., Merhof, D.: Sortedap: rethinking evaluation metrics for instance segmentation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3923\u20133929 (2023)","DOI":"10.1109\/ICCVW60793.2023.00424"}],"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_1","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_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031808708","9783031808715"],"references-count":45,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-80871-5_1","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"}}]}}