An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation.
The aim of this study is to evaluate a regional deformable model based on a deep unsupervised learning model for automatic contour propagation in breast cone-beam computed tomography–guided adaptive radiation therapy. A deep unsupervised learning model was introduced to map breast's tumor bed, clini...
| Publicado en: | Journal of Digital Imaging Vol. 36; no. 3; pp. 923 - 932 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2023
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| Acceso en línea: | Ver este registro en EBSCOhost |