Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization

Histopathological images are an important resource for clinical diagnosis and biomedical research. From an image understanding point of view, the automatic annotation of these images is a challenging problem. This paper presents a new method for automatic histopathological image annotation based on...

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Detalhes bibliográficos

Principais autores:	Angel Cruz-Roa, Gloria Díaz, Eduardo Romero, Fabio A González
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2011-01-01
Colecção:	Journal of Pathology Informatics
Assuntos:	Basal Cell Carcinoma Histopathology Images Automatic Annotation Visual Latent Semantic Analysis Non-negative Matrix Factorization Bag of Features
Acesso em linha:	http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2011;volume=2;issue=2;spage=4;epage=4;aulast=Cruz-Roa
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