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Esophageal cancer detection based on classification of gastrointestinal CT images using improved Faster RCNN

  • Published:2021-08 Issue: Volume:207 Page:106172
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Chen Kuan-bing,Xuan Ying,Lin Ai-jun,Guo Shao-hua

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference31 articles.

1. S. Van Riel, V.D.S. Fons, S. Zinger, et al. Automatic detection of early esophageal cancer with CNNS using transfer learning. 2018:1383-1387.

2. Chromosomal abnormalities and novel disease-related regions in progression from Barrett's esophagus to esophageal adenocarcinoma;Akagi;Int. J. Cancer,2009

3. Esophageal abnormality detection using Densenet based faster R-CNN with gabor features;Ghatwary;IEEE Access,2019

4. Fluorescent nanoparticle imaging allows noninvasive evaluation of immune cell modulation in esophageal dysplasia;Habibollahi;Mol. Imag.,2014

5. Fluorescent nanoparticle imaging allows noninvasive evaluation of immune cell modulation in esophageal dysplasia;Habibollahi;Mol. Imag.,2014

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