An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics: are these externally validated and ready for clinical application?
Aims: The number of convolutional neural networks (CNN) available for fracture detection and classification is rapidly increasing. External validation of a CNN on a temporally separate (separated by time) or geographically separate (separated by location) dataset is crucial to assess generalizabilit...
Main Authors: | Luisa Oliveira e Carmo, Anke van den Merkhof, Jakub Olczak, Max Gordon, Paul C. Jutte, Ruurd L. Jaarsma, Frank F. A. IJpma, Job N. Doornberg, Jasper Prijs, Machine Learning Consortium |
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Format: | Article |
Language: | English |
Published: |
The British Editorial Society of Bone & Joint Surgery
2021-10-01
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Series: | Bone & Joint Open |
Subjects: | |
Online Access: | https://online.boneandjoint.org.uk/doi/epdf/10.1302/2633-1462.210.BJO-2021-0133 |
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