n this paper we present a modular system for segmentation and classification of brain Magnetic Resonance (MR) images. It consists of two Neural Network architectures, a Self Organizing Map and a Multilayer Perceptron. The objective of the work is to evaluate the effectiveness of a Neural Network approach for automatic recognition of anatomic structures in MR images. The system has been useful to discriminate 20 different anatomic classes.
Neural network modular system for object classification in brain MR images
Blonda;PASQUARIELLO G;Satalino;
1993
Abstract
n this paper we present a modular system for segmentation and classification of brain Magnetic Resonance (MR) images. It consists of two Neural Network architectures, a Self Organizing Map and a Multilayer Perceptron. The objective of the work is to evaluate the effectiveness of a Neural Network approach for automatic recognition of anatomic structures in MR images. The system has been useful to discriminate 20 different anatomic classes.File in questo prodotto:
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