The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.
Objective: Osteoporosis is hard to detect before it manifests symptoms and complications. In this study, we evaluated machine learning models for identifying individuals with abnormal bone mineral density (BMD) through an analysis of spine X-ray features extracted by deep learning to alert high-risk...
| Publicado en: | Skeletal Radiology Vol. 49; no. 4; pp. 613 - 619 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |