Development of a Deep Learning Model for Automated Measurement of Skeletal Muscle Volume in 18F-FDG PET/CT.
To develop a deep learning–based automated trunk muscle volumetry method using whole-body CT from PET/CT and evaluate its performance against bioelectrical impedance analysis (BIA). In this retrospective study, an nnU-Net–based segmentation model was developed using a three-step iterative refinement...
| Publicado en: | Journal of Imaging Informatics in Medicine pp. 1 - 10 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2026
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| Acceso en línea: | Ver este registro en EBSCOhost |