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Title

Radiomics for classification of bone mineral loss: A machine learning study

Authors
Rastegar, S
Vaziri, M
Qasempour, Y
Akhash, M R
Abdalvand, N
Abdollahi, H
Published in Diagnostic and Interventional Imaging. 2020, vol. 101, no. 9, p. 599-610
Abstract The purpose of this study was to develop predictive models to classify osteoporosis, osteopenia and normal patients using radiomics and machine learning approaches.
Keywords Bone mineral densitometry (BMD)ClassificationMachine learningOsteoporosisRadiomics
Identifiers
PMID: 32033913
Note Merci de mettre à jour le pdf: https://www.hug.ch/sites/interhug/files/structures/pinlab/documents/diagintimag2020.pdf
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Structures
Research group Imagerie Médicale (TEP et TEMP) (542)
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RASTEGAR, S et al. Radiomics for classification of bone mineral loss: A machine learning study. In: Diagnostic and Interventional Imaging, 2020, vol. 101, n° 9, p. 599-610. doi: 10.1016/j.diii.2020.01.008 https://archive-ouverte.unige.ch/unige:132690

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Deposited on : 2020-03-20

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