Turner, M. and Austin, J. and Allinson, Nigel and Thompson, P. (1993) Chromosomelocation and feature extraction using neural networks. Image and Vision Computing, 11 (4). pp. 235-239. ISSN 0262-8856

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Abstract

We present a technique for initial location of scattered chromosomal objects within multi-resolution images of human blood cells. Kohonen Self Organising Maps learn to extract salient image features in the vicinity of located objects. Featureextraction is to form the first stage in a neuralnetwork system applied to the problem of recognizing structural aberrations in chromosomes.

Item Type:	Article
Additional Information:	We present a technique for initial location of scattered chromosomal objects within multi-resolution images of human blood cells. Kohonen Self Organising Maps learn to extract salient image features in the vicinity of located objects. Featureextraction is to form the first stage in a neuralnetwork system applied to the problem of recognizing structural aberrations in chromosomes.
Keywords:	neural networks, self-organising map, feature extraction, chromosome aberrations
Subjects:	G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User:	Tammie Farley
Date Deposited:	19 Apr 2012 16:21
Last Modified:	13 Mar 2013 09:06
URI:	http://eprints.lincoln.ac.uk/id/eprint/5024

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