An interpretable CT-based machine learning model for predicting recurrence risk in stage II colorectal cancer.

Abstract

Authors

• Ziqi Wu
  Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China.
• Liya Gong
  Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China.
• Jingwen Luo
  Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China.
• Xiaobo Chen
  Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA.
• Fan Yang
  School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.
• Junyan Wen
  Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China.
• Yanyu Hao
  Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China.
• Zhishan Wang
  Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China.
• Ruozhen Gu
  KnowX Tech Inc., Toronto, ON, Canada.
• Yuqin Zhang
  Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
• Hai Liao
  Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China. 42442427@qq.com.
• Ge Wen
  Medical Imaging Center, Nanfang Hospital, Southern Medical University, 1023 Shatai South Road, Baiyun District, Guangzhou, Guangdong, China. m13360022166@163.com.

Keywords

No keywords available for this article.

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