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.
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(2025-6-4)
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