| Autor: |
Schacky, Claudio E. von, Sohn, Jae Ho, Liu, Felix, Ozhinsky, Eugene, Jungmann, Pia M., Nardo, Lorenzo, Posadzy, Magdalena, Foreman, Sarah C., Nevitt, Michael C., Link, Thomas M., Pedoia, Valentina |
| Zdroj: |
Radiology; April 2020, Vol. 295 Issue: 1 p136-145, 10p |
| Abstrakt: |
A multitask deep learning model, trained with 15 364 hip joints and five hip osteoarthritis features per radiograph, solved multiple classification tasks simultaneously and assessed those features with a reliability similar to that of attending-level radiologists. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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