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

Abstract

Authors

• Dongyang Du
  Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
• Hui Feng
  School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, Guangdong, China.
• Wenbing Lv
  Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
• Saeed Ashrafinia
  Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
• Qingyu Yuan
  Nanfang PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
• Quanshi Wang
  Nanfang PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
• Wei Yang
  Key Laboratory of Structure-Based Drug Design and Discovery (Shenyang Pharmaceutical University), Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, PR China. Electronic address: 421063202@qq.com.
• Qianjin Feng
  Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China. Electronic address: qianjinfeng08@gmail.com.
• Wufan Chen
  Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
• Arman Rahmim
• Lijun Lu
  School of Biomedical Engineering, Southern Medical University, Guangzhou, China.

Keywords

External Resources