ロード中...
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
INTRODUCTION: “Radiomics” extracts and mines a large number of medical imaging features in a non-invasive and cost-effective way. The underlying assumption of radiomics is that these imaging features quantify phenotypic characteristics of an entire tumor. In order to enhance applicability of radiomi...
保存先:
| 出版年: | Front Oncol |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2015
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4668290/ https://ncbi.nlm.nih.gov/pubmed/26697407 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2015.00272 |
| 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!
|