Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network–Corrected Labeling in Magnetic Resonance Imaging–Derived Proton Density Fat Fraction.
This study aimed to propose an efficient method for self-automated segmentation of the liver using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) through deep active learning. We developed an active learning framework for liver segmentation using labeled and unlabeled data...
| Publicado en: | Journal of Digital Imaging Vol. 34; no. 5; pp. 1225 - 1237 |
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| Autores principales: | , , , , , , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2021
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| Acceso en línea: | Ver este registro en EBSCOhost |