Barrett's Esophagus Identification Using Color Co-Occurrence Matrices
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8613688/8614297/08614325.pdf?arnumber=8614325
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Layer-selective deep representation to improve esophageal cancer classification;Medical & Biological Engineering & Computing;2024-06-07
2. Superpixel-based Landmark Identification and Disease Diagnosis from Gastrointestinal Images;Journal of Electrical Engineering & Technology;2024-04-08
3. DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett’s esophagus;Neural Computing and Applications;2024-03-14
4. AIM in Barrett’s Esophagus;Artificial Intelligence in Medicine;2022
5. Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box;Computers in Biology and Medicine;2021-08
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