电子科技学刊2023,Vol.21Issue(3):38-51,14.DOI:10.1016/j.jnlest.2023.100205
Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++model
Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++model
摘要
关键词
Early esophageal cancer(EEC)/Gastrointestinal endoscopic(GIE)images/Semantic segmentation/Supervised learning/U-Net++Key words
Early esophageal cancer(EEC)/Gastrointestinal endoscopic(GIE)images/Semantic segmentation/Supervised learning/U-Net++引用本文复制引用
Zenebe Markos Lonseko,Cheng-Si Luo,Wen-Ju Du,Tao Gan,Lin-Lin Zhu,Prince Ebenezer Adjei,Ni-Ni Rao..Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++model[J].电子科技学刊,2023,21(3):38-51,14.基金项目
This work was supported by the National Natural Science Foundation under Grants No.62271127,No.61872405,and No.81171411 ()
Natural Science Foundation of Sichuan Province,China under Grant No.23NSFSC0627 ()
Medico-Engineering Cooperation Funds from University of Electronic Science and Technology of China and West China Hospital of Sichuan University under Grants No.ZYGX2022YGRH011 and No.HXDZ22005. ()