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A Novel Hepatocellular Carcinoma Image Classification Method Based on Voting Ranking Random Forests
This paper proposed a novel voting ranking random forests (VRRF) method for solving hepatocellular carcinoma (HCC) image classification problem. Firstly, in preprocessing stage, this paper used bilateral filtering for hematoxylin-eosin (HE) pathological images. Next, this paper segmented the bilater...
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| Publicat a: | Comput Math Methods Med |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Hindawi Publishing Corporation
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4886072/ https://ncbi.nlm.nih.gov/pubmed/27293477 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/2628463 |
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