列线图
接收机工作特性
无线电技术
医学
人工智能
分割
机器学习
计算机科学
放射科
肿瘤科
作者
Fei Zheng,Ping Yin,Kewei Liang,Yujian Wang,Wenhan Hao,Qi Hao,Nan Hong
标识
DOI:10.1016/j.acra.2023.12.015
摘要
Neoadjuvant chemotherapy (NAC) is the most crucial prognostic factor for osteosarcoma (OS), it significantly prolongs progression-free survival and improves the quality of life. This study aims to develop a deep learning radiomics (DLR) model to accurately predict the response to NAC in patients diagnosed with OS using preoperative MR images.
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