Automatic discrimination of different sequences and phases of liver MRI using a dense feature fusion neural network: a preliminary study.
Purpose: To develop and validate a dense feature fusion neural network (DFuNN) to automatically recognize different sequences and phases of liver magnetic resonance imaging (MRI). Materials and methods: In total, 3869 sequences and phases from 384 liver MRI examinations, divided into training/valida...
| Publicado en: | Abdominal Radiology Vol. 46; no. 10; pp. 4576 - 4588 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2021
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| Acceso en línea: | Ver este registro en EBSCOhost |