INVESTIGADORES
TORRES Humberto Maximiliano
congresos y reuniones científicas
Título:
Data Representation in a Neural Networks Application for Segmentation of Magnetic Resonance Imagenes
Autor/es:
G. BERNASCONI; M. REYES; H. TORRES; B. DROZDOWICZ
Lugar:
Tandil, Argentina
Reunión:
Jornada; 29 Jornadas Argentinas de Informática e Investigación Operativa; 2000
Institución organizadora:
Sociedad Argentina de Informática e Investigación Operativa
Resumen:
This paper presents a Neural Network (NN) application for registered human brain Magnetic Resonance Images (MRI) segmentation. The selection and preprocessing of input data set was analyzed in more details, taking into account that the quality of the network results depends directly on the characteristics of the training patterns. In this way data reliability was analyzed, considering the convenience of complementary software to improve the data acquisition process. The inclusion of context information is analyzed in order to improve the Neural Network results. This context information is obtained considering the values of all the neighbors pixels. In order to enhance the generalization capability of the resultant networks some noise injection into input patterns in back-propagation learning is analyzed. A Modular Neural Network architecture was adopted.
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