列线图
无线电技术
医学
接收机工作特性
肿瘤科
浆液性液体
卡铂
内科学
化疗
放射科
人工智能
顺铂
计算机科学
作者
Qiu Bi,Kun Miao,Na Xu,Faping Hu,Jing Yang,Wenwei Shi,Ying Lei,Yunzhu Wu,Yang Song,Conghui Ai,Haiming Li,Jinwei Qiang
标识
DOI：10.1016/j.acra.2023.11.038
摘要
This study aims to explore the feasibility of MRI-based habitat radiomics for predicting response of platinum-based chemotherapy in patients with high-grade serous ovarian carcinoma (HGSOC), and compared to conventional radiomics and deep learning models.
科研通智能强力驱动
Strongly Powered by AbleSci AI
PDF的下载单位、IP信息已删除
(2025-6-4)
cdercder
Kao
123
GingerF
cat
OK
Nole
渡人舟
小鱼儿
东方元语
张欢馨
Sledge
Criminology34
刻苦的长颈鹿
vampv
研研
贪玩的秋柔
lili
ming2026
aajhajkahna
皖公网安备34019202002308
