ロード中...
Weakly supervised temporal model for prediction of breast cancer distant recurrence
Efficient prediction of cancer recurrence in advance may help to recruit high risk breast cancer patients for clinical trial on-time and can guide a proper treatment plan. Several machine learning approaches have been developed for recurrence prediction in previous studies, but most of them use only...
保存先:
| 出版年: | Sci Rep |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2021
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8096809/ https://ncbi.nlm.nih.gov/pubmed/33947927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-89033-6 |
| 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!
|