Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference.
Objective: To clinically validate a fully automated deep convolutional neural network (DCNN) for detection of surgically proven meniscus tears.Materials and Methods: One hundred consecutive patients were retrospectively included, who underwent knee MRI and knee arthroscopy in our institution. All MR...
| Publicado en: | Skeletal Radiology Vol. 49; no. 8; pp. 1207 - 1218 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |