Chromosomelocation and feature extraction using neural networks

Turner, M., Austin, J., 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.

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 Science > School of Computer Science
ID Code:5024
Deposited On:19 Apr 2012 16:21

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