Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++ model-Reference-Cited by-同舟云学术

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

Published:2023-09 Issue:3 Volume:21 Page:100205
ISSN:1674-862X
Container-title:Journal of Electronic Science and Technology
language:en
Short-container-title:Journal of Electronic Science and Technology

Author:

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

Funder

National Natural Science Foundation of China

University of Electronic Science and Technology of China

West China Hospital, Sichuan University

Natural Science Foundation of Sichuan Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Signal Processing

Reference39 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA A Cancer J. Clin.,2018

2. Esophageal cancer;Blot,2017

3. Esophageal cancer: Risk factors, screening and endoscopic treatment in western and eastern countries;Arnal;World J. Gastroenterol.,2015

4. Current endoscopic methods of radical therapy in early esophageal cancer;Mocanu;J. Med. Life,2015

5. Endoscopic treatment of early-stage esophageal cancer;Naveed;Curr. Oncol. Rep.,2018

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