ロード中...
MRI features predict p53 status in lower-grade gliomas via a machine-learning approach
BACKGROUND: P53 mutation status is a pivotal biomarker for gliomas. Here, we developed a machine-learning model to predict p53 status in lower-grade gliomas based on radiomic features extracted from conventional magnetic resonance (MR) images. METHODS: Preoperative MR images were retrospectively obt...
保存先:
| 出版年: | Neuroimage Clin |
|---|---|
| 主要な著者: | , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2017
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5842645/ https://ncbi.nlm.nih.gov/pubmed/29527478 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2017.10.030 |
| 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!
|