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Unsupervised segmentation of multi-echo MR images with an ART-based neural network

Li, W. and Attikiouzel, Y. (1995) Unsupervised segmentation of multi-echo MR images with an ART-based neural network. In: Proceedings of the IEEE International Conference on Neural Networks, 27 November - 1 December, Perth, Western Australia pp. 2600-2604.

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Link to Published Version: http://dx.doi.org/10.1109/ICNN.1995.487819
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Abstract

This paper investigates the suitability of an ART-based neural network for unsupervised segmentation of multi-echo MR images. The ART2A network was used to segment standard dual-echo MR images. Two problems were identified with the basic ART2A: one, the network was hardly convergent; and two, the categorization depended on the order of presentation of the patterns. In order to solve these two problems, a dynamic learning parameter and random pattern presentation method were introduced. Results using a number of actual dual-echo MR images with the modified ART2A network show that ART-based networks can be used for segmentation of multi-echo MR images

Item Type: Conference Paper
Publisher: IEEE
Copyright: © 1995 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/20631
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