医学
接收机工作特性
肺癌
放射科
脂肪组织
分割
核医学
内科学
人工智能
计算机科学
作者
Miłosz Rozynek,Zbisław Tabor,Stanisław Kłęk,Wadim Wojciechowski
出处
期刊:Nutrition
[Elsevier]
日期:2023-12-24
卷期号:120: 112336-112336
被引量:2
标识
DOI:10.1016/j.nut.2023.112336
摘要
This study combined two novel approaches in oncology patient outcome predictions-body composition and radiomic features analysis. The aim of this study was to validate whether automatically extracted muscle and adipose tissue radiomic features could be used as a predictor of survival in patients with non-small cell lung cancer.
科研通智能强力驱动
Strongly Powered by AbleSci AI