Deep learning classification of shoulder fractures on plain radiographs of the humerus, scapula and clavicle

In this study, we present a deep learning model for fracture classification on shoulder radiographs using a convolutional neural network (CNN). The primary aim was to evaluate the classification performance of the CNN for proximal humeral fractures (PHF) based on the AO/OTA classification system. Se...

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書誌詳細

主要な著者:	Martin Magnéli, Petter Ling, Jacob Gislén, Johan Fagrell, Yilmaz Demir, Erica Domeij Arverud, Kristofer Hallberg, Björn Salomonsson, Max Gordon
フォーマット:	Artigo
言語:	Inglês
出版事項:	Public Library of Science (PLoS) 2023-01-01
シリーズ:	PLoS ONE
オンライン･アクセス:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468075/?tool=EBI
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