A deep learning model based on contrast-enhanced computed tomography for differential diagnosis of gallbladder carcinomaOA
A deep learning model based on contrast-enhanced computed tomography for differential diagnosis of gallbladder carcinoma
Fei Xiang;Qing-Tao Meng;Jing-Jing Deng;Jie Wang;Xiao-Yuan Liang;Xing-Yu Liu;Sheng Yan
Department of Hepatobiliary Pancreatic Surgery,Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310003,ChinaDepartment of Radiology,Affiliated Chuzhou First People's Hospital,Anhui Medical University,Chuzhou 239000,ChinaDepartment of Radiology,Affiliated Chuzhou First People's Hospital,Anhui Medical University,Chuzhou 239000,ChinaDepartment of Radiology,Affiliated Chuzhou First People's Hospital,Anhui Medical University,Chuzhou 239000,ChinaDepartment of Hepatobiliary Pancreatic Surgery,Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310003,ChinaDepartment of Hepatobiliary Pancreatic Surgery,Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310003,ChinaDepartment of Hepatobiliary Pancreatic Surgery,Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310003,China
Gallbladder carcinomaComputed tomographyDeep learningRadiomics
Gallbladder carcinomaComputed tomographyDeep learningRadiomics
《国际肝胆胰疾病杂志（英文版）》 2024 (4)
376-384,9
This study was supported by grants from the National Natural Science Foundation of China(81572975),Key Research and Devel-opment Project of Science and Technology Department of Zhejiang(2015C03053),Chen Xiao-Ping Foundation for the Development of Science and Technology of Hubei Province(CXPJJH11900009-07)and Zhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents.
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