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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...
Gorde:
| Argitaratua izan da: | Biomed Opt Express |
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| Egile Nagusiak: | , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Optical Society of America
2021
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| Gaiak: | |
| Sarrera elektronikoa: | 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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