Cargando…
Predicting cancer outcomes from histology and genomics using convolutional networks
Cancer histology reflects underlying molecular processes and disease progression and contains rich phenotypic information that is predictive of patient outcomes. In this study, we show a computational approach for learning patient outcomes from digital pathology images using deep learning to combine...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879673/ https://www.ncbi.nlm.nih.gov/pubmed/29531073 http://dx.doi.org/10.1073/pnas.1717139115 |