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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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| Udgivet i: | Biomed Opt Express |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Optical Society of America
2021
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| 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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