A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy.

Abstract

Authors

• Xuelei He
• Kai Li
  Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
• Ran Wei
• Mengxuan Zuo
  Department of Minimal Invasive Intervention, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651, Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
• Wang Yao
  Department of Reproductive Medicine, The First Affiliated Hospital, Jinan University Guangzhou 510000, Guangdong, China.
• Zechen Zheng
  Department of Interventional Therapy, Guangdong Provincial Hospital of Chinese, Medicine and Guangdong Provincial Academy of Chinese Medical Sciences, No. 111 Dade Road, Guangzhou, 510080, Guangdong, People's Republic of China.
• Xiaowei He
• Yan Fu
  School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, PR China. Electronic address: fuyan@tju.edu.cn.
• Chengzhi Li
  Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510060, People's Republic of China. lichengzhi@jnu.edu.cn.
• Chao An
  Department of Minimal invasive intervention, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
• Wendao Liu
  Department of Interventional Therapy, Guangdong Provincial Hospital of Chinese, Medicine and Guangdong Provincial Academy of Chinese Medical Sciences, No. 111 Dade Road, Guangzhou, 510080, Guangdong, People's Republic of China. Liu_wendao_2023@163.com.

Keywords

External Resources