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Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset
This Letter presents a stable polyp-scene classification method with low false positive (FP) detection. Precise automated polyp detection during colonoscopies is essential for preventing colon-cancer deaths. There is, therefore, a demand for a computer-assisted diagnosis (CAD) system for colonoscopi...
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| Publicado no: | Healthc Technol Lett |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Institution of Engineering and Technology
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6952261/ https://ncbi.nlm.nih.gov/pubmed/32038864 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2019.0079 |
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