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...

Descripción completa

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

Internet

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

Ejemplares similares