ロード中...
Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling
Radiation outcomes prediction (ROP) plays an important role in personalized prescription and adaptive radiotherapy. A clinical decision may not only depend on an accurate radiation outcomes’ prediction, but also needs to be made based on an informed understanding of the relationship among patients’...
保存先:
| 出版年: | BJR Open |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The British Institute of Radiology.
2019
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7592485/ https://ncbi.nlm.nih.gov/pubmed/33178948 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjro.20190021 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|