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Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study †
Analysis of colonoscopy images plays a significant role in early detection of colorectal cancer. Automated tissue segmentation can be useful for two of the most relevant clinical target applications—lesion detection and classification, thereby providing important means to make both processes more ac...
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| Veröffentlicht in: | J Imaging |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8321061/ https://ncbi.nlm.nih.gov/pubmed/34460662 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jimaging6070069 |
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