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

被引：0

作者：

Xuelei He

Kai Li

Ran Wei

Mengxuan Zuo

Wang Yao

Zechen Zheng

Xiaowei He

Yan Fu

Chengzhi Li

Chao An

Wendao Liu

机构：

[1] Medicine and Guangdong Provincial Academy of Chinese Medical Sciences,Department of Interventional Therapy, Guangdong Provincial Hospital of Chinese

[2] Northwest University,School of Information Sciences and Technology

[3] Collaborative Innovation Center for Cancer Medicine,Department of Minimal Invasive Intervention, Sun Yat

[4] The Third Affiliated Hospital of Sun Yat-sen University,sen University Cancer Center; State Key Laboratory of Oncology in South China

[5] The Third Affiliated Hospital of Sun Yat-sen University,Department of Ultrasound

[6] The First Affiliated Hospital of Jinan University,Department of Interventional Radiology and Vascular Surgery

[7] Chinese Academy of Medical,Department of Interventional Radiology and Vascular Surgery

[8] Sciences and Peking Union Medical College,Department of Interventional Therapy, National Cancer Center/National Clinical, Research Center for Cancer/Cancer Hospital

来源：

La radiologia medica | 2023年 / 128卷

关键词：

Hepatocellular carcinoma; Deep learning; Hepatic arterial infusion chemotherapy; Macrotrabecular massive; Prognostic risk stratification;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：1508 / 1520

页数：12