Semiautomated segmentation of bone marrow biopsies images based on texture features and Generalized Regression Neural Networks

This work presents preliminary results of a method for semi-automatic detection of fat and hematopoietic cells as well as trabecular surfaces in bone marrow biopsies, in order to calculate the percentage of each type of tissue or cell area in relation to the whole area. Experimental results using s...

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Detalles Bibliográficos
Autores principales: Meschino, Gustavo, Moler, Emilce Graciela, Passoni, Lucía Isabel
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2004
Materias:
Ciencias Informáticas
Digital Image Processing
Segmentation
Texture
Classification
Generalized Regression
Neural Networks
Visual
COMPUTER GRAPHICS
Neural nets
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22371
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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