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SIIA Público
SISTEMA INTEGRAL DE INFORMACIÓN ACADÉMICA - PÚBLICO
Título del libro: 2013 International Conference On Technological Advances In Electrical, Electronics And Computer Engineering (taeece) Título del capítulo: AUTOMATIC LIVER TISSUE SEGMENTATION IN MICROSCOPIC IMAGES USING FUSION COLOR SPACE AND MULTISCALE MORPHOLOGICAL RECONSTRUCTION
Autores UNAM: MARCO ELIAS GUDIÑO ZAYAS;
Autores externos: Idioma: Año de publicación: 2013Palabras clave:
In this paper we propose a new method for the segmentation of digital
two-dimensional color liver tissue images acquired by an optical
microscope from histological segments of the liver of hamster. The
sections are acquired by cutting real livers of amoebic liver abscess.
This work is part of a medical research project on studying the process
of amoebiasis, which harms the human liver, being an important and
dangerous disease. The new method is based on a fusion of various
results of application of color histogram and multiscale morphological
filter, which uses size and color characteristics.
As a result, the images are segmented in four classes: the liver cell
nuclei, the cytoplasm, stained cells, and the background. For the
evaluation and for testing the reliability of the proposed segmentation
algorithm, we use a set of real 2D color images of a hamster's liver
provided through routine experimentation by the Experimental Pathology
Unit at the National Autonomous University of Mexico.