{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T12:09:08Z","timestamp":1773490148761,"version":"3.50.1"},"publisher-location":"Wiesbaden","reference-count":11,"publisher":"Springer Fachmedien Wiesbaden","isbn-type":[{"value":"9783658510992","type":"print"},{"value":"9783658511005","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-3-658-51100-5_89","type":"book-chapter","created":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T14:07:00Z","timestamp":1773238020000},"page":"451-457","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fracture Morphology Classification"],"prefix":"10.1007","author":[{"given":"Cassandra","family":"Krause","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mattias P.","family":"Heinrich","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7583-9144","authenticated-orcid":false,"given":"Ron","family":"Keuth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,12]]},"reference":[{"key":"89_CR1","unstructured":"Kraus R, Schneidm\u00fcller D, R\u00f6der C. H\u00e4ufigkeit von Frakturen der langen R\u00f6hrenknochen im Wachstumsalter. Dtsch Arztebl Int. 2005;102(12):A\u2013838."},{"key":"89_CR2","doi-asserted-by":"crossref","unstructured":"Khan H, Monsell F, Duffy S, Trompeter A, Bridgens A, Gelfer Y. Paediatric distal radius fractures: an instructional review for the FRCS examination. Eur J Orthop Surg Traumatol. 2023;33(5):2169\u201372.","DOI":"10.1007\/s00590-022-03409-6"},{"key":"89_CR3","doi-asserted-by":"crossref","unstructured":"Slongo T, Audig\u00e9 L, Schlickewei W, Clavert JM, Hunter J. Development and validation of the AO pediatric comprehensive classification of long bone fractures. J Pediatr Orthop. 2006;26(1):43\u20139.","DOI":"10.1097\/01.bpo.0000187989.64021.ml"},{"key":"89_CR4","doi-asserted-by":"crossref","unstructured":"Shojib MH, Khan RR, Faiaz A, Ashrafee M, Alfaz N. Classification of wrist fracture from X-ray images using DenseNet-121. Proc ICCIT. 2024:1428\u201333.","DOI":"10.1109\/ICCIT64611.2024.11022410"},{"key":"89_CR5","doi-asserted-by":"crossref","unstructured":"Thorat SR, Jha DG, Sharma AK, Katkar DV. Wrist fracture detection using self-supervised learning methodology. Musculoskelet Surg. 2024;8(2):133\u201341.","DOI":"10.25259\/JMSR_260_2023"},{"key":"89_CR6","doi-asserted-by":"crossref","unstructured":"Binh LN, Nhu NT, Vy VPT, Son DLH, Hung TNK, Bach N et al. Multi-class deep learning model for detecting pediatric distal forearm fractures based on the AO\/OTA classification. J Imaging Inform Med. 2024;37(2):725\u201333.","DOI":"10.1007\/s10278-024-00968-4"},{"key":"89_CR7","doi-asserted-by":"crossref","unstructured":"Min H, Rabi Y, Wadhawan A, Bourgeat P, Dowling J, White J et al. Automatic classification of distal radius fracture using a two-stage ensemble deep learning framework. Phys Eng Sci Med. 2023;46(2):877\u201386.","DOI":"10.1007\/s13246-023-01261-4"},{"key":"89_CR8","doi-asserted-by":"crossref","unstructured":"Gan K, Liu Y, Zhang T, Xu D, Lian L, Luo Z et al. Deep learning model for automatic identification and classification of distal radius fracture. J Imaging Inform Med. 2024.","DOI":"10.1007\/s10278-024-01144-4"},{"key":"89_CR9","doi-asserted-by":"crossref","unstructured":"Yang F, Cong R, Xing M, Ding B. Study on AO classification of distal radius fractures based on multi-feature fusion. Proc APSDP. 2021;1800(1):012006.","DOI":"10.1088\/1742-6596\/1800\/1\/012006"},{"key":"89_CR10","doi-asserted-by":"crossref","unstructured":"Keuth R, Balks M, Tschauner S, T\u00fcshaus L, Heinrich M. Systematic analysis of input modalities for fracture classification. Proc BVM. 2025:203\u20138.","DOI":"10.1007\/978-3-658-47422-5_44"},{"key":"89_CR11","doi-asserted-by":"crossref","unstructured":"Nagy E, Janisch M, Hr\u017ei\u0107 F, Sorantin E, Tschauner S. A pediatric wrist trauma X-ray dataset for machine learning. Sci Data. 2022;9(1):222.","DOI":"10.1038\/s41597-022-01328-z"}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2026"],"original-title":[],"language":"de","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-658-51100-5_89","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T11:04:46Z","timestamp":1773486286000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-658-51100-5_89"}},"subtitle":["Local Multiclass Modeling for Multilabel Complexity"],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783658510992","9783658511005"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-51100-5_89","relation":{},"ISSN":["1431-472X","2628-8958"],"issn-type":[{"value":"1431-472X","type":"print"},{"value":"2628-8958","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"12 March 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BVM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"BVM Workshop","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"L\u00fcbeck","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Deutschland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 March 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 March 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bvm2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.bvm-conf.org\/de\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}