Fully automated 3D multi-modal deep learning model for preoperative T-stage prediction of colorectal cancer using F-FDG PET/CT.

Abstract

Authors

• Mobei Zhang
  Department of Electronic Engineering, School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, China.
• Yufan Li
  Anhui University of Chinese Medicine, Hefei, China.
• Chunhong Zheng
  Department of Electronic Engineering, School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, China.
• Fei Xie
  Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, China.
• Zhenwei Zhao
  Information Center of the First Hospital of Jilin University, Changchun 130021, Jilin, China.
• Fahao Dai
  Department of Electronic Engineering, School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, China.
• Jiarou Wang
  Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
• Hubing Wu
  PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
• Zhaohui Zhu
  Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China. zhuzhaohui316@163.com.
• Qingxing Liu
  Nanfang PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. smu_lqx@163.com.
• Yinfeng Li
  Department of Electronic Engineering, School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, China. liyinfengcn@163.com.

Keywords

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