Development of a deep-learning model for classification of LI-RADS major features by using subtraction images of MRI: a preliminary study.
Purpose: Liver Imaging Reporting and Data System (LI-RADS) is limited by interreader variability. Thus, our study aimed to develop a deep-learning model for classifying LI-RADS major features using subtraction images using magnetic resonance imaging (MRI). Methods: This single-center retrospective s...
| Publicado en: | Abdominal Radiology Vol. 48; no. 8; pp. 2547 - 2557 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2023
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| Acceso en línea: | Ver este registro en EBSCOhost |