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Automatic classification of esophageal disease in gastroscopic images using an efficient channel attention deep dense convolutional neural network

The accurate diagnosis of various esophageal diseases at different stages is crucial for providing precision therapy planning and improving 5-year survival rate of esophageal cancer patients. Automatic classification of various esophageal diseases in gastroscopic images can assist doctors to improve...

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Bibliografiske detaljer
Udgivet i:Biomed Opt Express
Main Authors: Du, Wenju, Rao, Nini, Dong, Changlong, Wang, Yingchun, Hu, Dingcan, Zhu, Linlin, Zeng, Bing, Gan, Tao
Format: Artigo
Sprog:Inglês
Udgivet: Optical Society of America 2021
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8221966/
https://ncbi.nlm.nih.gov/pubmed/34221645
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.420935
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