A kernel-based multi-feature image representation for histopathology image classification

This paper presents a novel strategy for building a high-dimensional feature space to represent histopathology image contents. Histogram features, related to colors, textures and edges, are combined together in a unique image representation space using kernel functions. This feature space is further...

Full description

Autores:
Moreno, J Carlos
Caicedo, J. Carlos
González, F
Tipo de recurso:
Article of journal
Fecha de publicación:
2010
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/31759
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/31759
http://bdigital.unal.edu.co/21839/
http://bdigital.unal.edu.co/21839/2/
Palabra clave:
Automatic image annotation
machine learning
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional