HealinguFE-785446 Operator-independent Characterization of Image Quality in HR-pQCT Scans using a Fully Automated Convolutional Neural Network-based Classification Method.

Summary

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Authors: Eggemann, D., Walle, M., Atkins, R.P., Stock, K., Müller, R. and Collins, C.J.

Journal title: JBMR

Journal publisher: Elsevier

Published year: 2021

Associated projects

$Development of an in silico model for prediction of in vivo human bone fracture healing using micro-finite element analysis$ HealinguFE - Development of an in silico model for prediction of in vivo human bone fracture healing using micro-finite element analysis

Organisations

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Operator-​independent Characterization of Image Quality in HR-​pQCT Scans using a Fully Automated Convolutional Neural Network-​based Classification Method.

Operator-independent Characterization of Image Quality in HR-pQCT Scans using a Fully Automated Convolutional Neural Network-based Classification Method.