載入...
Combining handcrafted features with latent variables in machine learning for prediction of radiation‐induced lung damage
PURPOSE: There has been burgeoning interest in applying machine learning methods for predicting radiotherapy outcomes. However, the imbalanced ratio of a large number of variables to a limited sample size in radiation oncology constitutes a major challenge. Therefore, dimensionality reduction method...
Na minha lista:
| 發表在: | Med Phys |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
John Wiley and Sons Inc.
2019
|
| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6510637/ https://ncbi.nlm.nih.gov/pubmed/30891794 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13497 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|