Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition

Accurate classification of hepatocellular carcinoma (HCC) image is of great importance in pathology diagnosis and treatment. This paper proposes a concave-convex variation (CCV) method to optimize three classifiers (random forest, support vector machine, and extreme learning machine) for the more ac...

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Detalles Bibliográficos
Autores principales: Pang, Wenbo, Jiang, Huiyan, Li, Siqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535756/
https://www.ncbi.nlm.nih.gov/pubmed/28798937
http://dx.doi.org/10.1155/2017/9718386

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535756/
https://www.ncbi.nlm.nih.gov/pubmed/28798937
http://dx.doi.org/10.1155/2017/9718386

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