Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer
National Key Research and Development Program of China
Fundamental Research Funds for the Central Universities
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article
Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer
Shuixing Zhang, Liebin Huang, Ximiao Wang, Lian Jian et al.
Journal
Radiology Imaging Cancer
Topics
Gastric Cancer Management and Outcomes
article
Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer
Shuixing Zhang, Liebin Huang, Ximiao Wang, Lian Jian, Wansheng Long, Qiuying Chen, Hua Xiao, Bao Feng, Y Q Huang, Yueyue Li
article en
Abstract
No abstract available for this paper.
Publication Tag
Radiology Imaging CancerVol. 8(3)
Institutions
Central South University (CN), Kunming Medical University (CN), Guilin University of Aerospace Technology (CN), Guilin University of Technology (CN), Key Laboratory of Guangdong Province (CN), Hunan Cancer Hospital (CN), First Affiliated Hospital of Kunming Medical University (CN), Guangdong Academy of Medical Sciences (CN), Jiangmen Central Hospital (CN), First Affiliated Hospital of Jinan University (CN), Guilin University of Electronic Technology (CN)
Funders
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Sustainable Development Goals
Peace, Justice and strong institutions, Reduced inequalities