Cargando…
A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer
The purpose of this study was to explore the deep learning radiomics (DLR) nomogram to predict the overall 3-year survival after chemoradiotherapy in patients with esophageal cancer. The 154 patients' data were used in this study, which was randomly split into training (116) and validation (38)...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970800/ https://www.ncbi.nlm.nih.gov/pubmed/35368956 http://dx.doi.org/10.1155/2022/4034404 |