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

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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Bibliographic Details
Main Authors: Martin Magnéli, Petter Ling, Jacob Gislén, Johan Fagrell, Yilmaz Demir, Erica Domeij Arverud, Kristofer Hallberg, Björn Salomonsson, Max Gordon
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468075/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468075/?tool=EBI

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