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Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++model

Zenebe Markos Lonseko Cheng-Si Luo Wen-Ju Du Tao Gan Lin-Lin Zhu Prince Ebenezer Adjei Ni-Ni Rao

电子科技学刊2023,Vol.21Issue(3):38-51,14.
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

Zenebe Markos Lonseko 1Cheng-Si Luo 2Wen-Ju Du 2Tao Gan 3Lin-Lin Zhu 3Prince Ebenezer Adjei 2Ni-Ni Rao2

作者信息

  • 1. School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,610054,China||College of Health and Medical Sciences,Dilla University,Dilla,419,Ethiopia
  • 2. School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,610054,China
  • 3. West China Hospital of Sichuan University,Chengdu,610017,China
  • 折叠

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. ()

电子科技学刊

OACSCD

1674-862X

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