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Akademický článek
Ankle fracture classification using deep learning: automating detailed AO Foundation/Orthopedic Trauma Association (AO/OTA) 2018 malleolar fracture identification reaches a high degree of correct classification
Autor: Jakub Olczak, Filip Emilson, Ali Razavian, Tone Antonsson, Andreas Stark, Max Gordon
Publikováno v: Acta Orthopaedica, Vol 92, Iss 1, Pp 102-108 (2020)
Background and purpose — Classification of ankle fractures is crucial for guiding treatment but advanced classifications such as the AO Foundation/Orthopedic Trauma Association (AO/OTA) are often too complex for human observers to learn and use. We
Externí odkaz: https://doaj.org/article/b6a49c2925c54bd6973ea961fdc3191c
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2
Ankle fracture classification using deep learning: automating detailed AO Foundation/Orthopedic Trauma Association (AO/OTA) 2018 malleolar fracture identification reaches a high degree of correct classification
Autor: Andreas Stark, Filip Emilson, Tone Antonsson, Jakub Olczak, Max Gordon, Ali Sharif Razavian
Publikováno v: Acta Orthopaedica, Vol 92, Iss 1, Pp 102-108 (2020)
Acta Orthopaedica
article-version (VoR) Version of Record
Background and purpose — Classification of ankle fractures is crucial for guiding treatment but advanced classifications such as the AO Foundation/Orthopedic Trauma Association (AO/OTA) are often too complex for human observers to learn and use. We
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11a8a4d1878384fe010c5e2acb6e797b
https://doaj.org/article/b6a49c2925c54bd6973ea961fdc3191c
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Plný text Recenzováno Digitální knihovna AV ČR
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