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A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy.
He, Xuelei; Li, Kai; Wei, Ran; Zuo, Mengxuan; Yao, Wang; Zheng, Zechen; He, Xiaowei; Fu, Yan; Li, Chengzhi; An, Chao; Liu, Wendao.
Affiliation
  • He X; School of Information Sciences and Technology, Northwest University, Xi'an, 710127, Shaanxi Province, People's Republic of China.
  • Li K; Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China.
  • Wei R; Department of Interventional Radiology and Vascular Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China.
  • Zuo M; 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.
  • Yao W; Department of Interventional Radiology and Vascular Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, Province Guangdong, People's Republic of China.
  • Zheng Z; 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.
  • He X; 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.
  • Fu Y; Department of Interventional Therapy, National Cancer Center/National Clinical, Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical, Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
  • Li C; 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.
  • An C; 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. anchao-1983@163.com.
  • Liu W; 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.
Radiol Med ; 128(12): 1508-1520, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37801197
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Hepatocellular / Deep Learning / Liver Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Radiol Med Year: 2023 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Hepatocellular / Deep Learning / Liver Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Radiol Med Year: 2023 Document type: Article Country of publication: