Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study.
Purpose: To develop a deep convolutional neural network (CNN) model to categorize multiphase CT and MRI liver observations using the liver imaging reporting and data system (LI-RADS) (version 2014). Methods: A pre-existing dataset comprising 314 hepatic observations (163 CT, 151 MRI) with correspond...
| Publicado en: | Abdominal Radiology Vol. 45; no. 1; pp. 24 - 36 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jan2020
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| Acceso en línea: | Ver este registro en EBSCOhost |