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Computational learning of features for automated colonic polyp classification
Shape, texture, and color are critical features for assessing the degree of dysplasia in colonic polyps. A comprehensive analysis of these features is presented in this paper. Shape features are extracted using generic Fourier descriptor. The nonsubsampled contourlet transform is used as texture and...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7902635/ https://ncbi.nlm.nih.gov/pubmed/33623086 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-83788-8 |
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