Interpretable survival network for progression risk analysis of multimodality imaging biomarkers in poor-prognosis head and neck cancers
Abstract This study explores the predictive utility of multi-time point, multi-modality quantitative imaging biomarkers (QIBs) and clinical factors in patients with poor-prognosis head and neck cancers (HNCs) using interpretable machine learning. We examined 93 patients with p16 + oropharyngeal squa...
保存先:
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2024-12-01
|
| シリーズ: | Scientific Reports |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-024-80815-2 |
| タグ: |
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!
|