Cargando…
Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans
Deep learning (DL) is a breakthrough technology for medical imaging with high sample size requirements and interpretability issues. Using a pretrained DL model through a radiomics-guided approach, we propose a methodology for stratifying the prognosis of lung adenocarcinomas based on pretreatment CT...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590002/ https://www.ncbi.nlm.nih.gov/pubmed/34773070 http://dx.doi.org/10.1038/s42003-021-02814-7 |