Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network.
Objectives: To develop an automatic segmentation algorithm using a deep neural network with transfer learning applicable to whole-body PET-CT images in children.Methods: For model development, we utilized transfer learning with a pre-trained model based on adult patients. We used CT images of 31 ped...
| Publicado en: | European Radiology Vol. 32; no. 12; pp. 8463 - 8473 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |