Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.
Objectives: To investigate whether a deep learning model can predict the bone mineral density (BMD) of lumbar vertebrae from unenhanced abdominal computed tomography (CT) images.Methods: In this Institutional Review Board-approved retrospective study, patients who received both unenhanced CT examina...
| Publicado en: | European Radiology Vol. 30; no. 6; pp. 3549 - 3558 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |