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Abnormal Image Detection in Endoscopy Videos Using a Filter Bank and Local Binary Patterns
Finding mucosal abnormalities (e.g., erythema, blood, ulcer, erosion, and polyp) is one of the most essential tasks during endoscopy video review. Since these abnormalities typically appear in a small number of frames (around 5% of the total frame number), automated detection of frames with an abnor...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4131459/ https://ncbi.nlm.nih.gov/pubmed/25132723 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neucom.2014.02.064 |
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