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...
- Autores:
-
Cruz Roa, Angel Alfonso
Díaz Cabrera, Gloria Mercedes
Romero Castro, Eduardo
González Osorio, Fabio Augusto
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2012
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/9021
- Palabra clave:
- 6 Tecnología (ciencias aplicadas) / Technology
61 Ciencias médicas; Medicina / Medicine and health
Basal Cell Carcinoma
Histopathology Images
Automatic Annotation
Visual Latent Semantic Analysis
Non-negative Matrix Factorization
Bag of Features
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional