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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Detalles Bibliográficos
Autores principales: Cruz-Roa, Angel, Díaz, Gloria, Romero, Eduardo, González, Fabio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2012
Materias:
Symposium - Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312710/
https://www.ncbi.nlm.nih.gov/pubmed/22811960
http://dx.doi.org/10.4103/2153-3539.92031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312710/
https://www.ncbi.nlm.nih.gov/pubmed/22811960
http://dx.doi.org/10.4103/2153-3539.92031

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