Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images

被引：0
|
作者：
Dongyang Du
Hui Feng
Wenbing Lv
Saeed Ashrafinia
Qingyu Yuan
Quanshi Wang
Wei Yang
Qianjin Feng
Wufan Chen
Arman Rahmim
Lijun Lu
机构：
[1] Southern Medical University,School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing
[2] Johns Hopkins University,Department of Electrical & Computer Engineering
[3] Johns Hopkins University,Department of Radiology
[4] Southern Medical University,Nanfang PET Center, Nanfang Hospital
[5] University of British Columbia,Department of Radiology
[6] University of British Columbia,Department of Physics & Astronomy
来源：
Molecular Imaging and Biology | 2020年 / 22卷
关键词：
Radiomics; Nasopharyngeal carcinoma; Machine learning; Diagnosis; PET/CT;
D O I：
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学科分类号：
摘要：
引用
收藏
页码：730 / 738
页数：8
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