Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks.

Journal: Clinical radiology

Published Date: Dec 18, 2017

Abstract

AIM: To identify the extent to which transfer learning from deep convolutional neural networks (CNNs), pre-trained on non-medical images, can be used for automated fracture detection on plain radiographs.

Authors

D H Kim

Medical Imaging Department, Royal Devon and Exeter Hospital, Barrack Road, Exeter EX2 5DW, UK. Electronic address: Daniel.kim@nhs.net.
T MacKinnon

Medical Imaging Department, Royal Devon and Exeter Hospital, Barrack Road, Exeter EX2 5DW, UK.

Keywords

Artificial Intelligence Deep Learning Diagnosis, Differential Fractures, Bone Humans Machine Learning Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (29269036)

Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks.

Abstract

Authors

Keywords

External Resources

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