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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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Detalles Bibliográficos
Autores principales:	Xia, Bingbing, Jiang, Huiyan, Liu, Huiling, Yi, Dehui
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4886072/ https://www.ncbi.nlm.nih.gov/pubmed/27293477 http://dx.doi.org/10.1155/2016/2628463

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