Chromosomelocation and feature extraction using neural networks

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

Documents
1993_ChromosomeLocationAndFeatureExtractionUsingNeuralNetworks_46.pdf
[img]
[Download]
Request a copy
[img] PDF
1993_ChromosomeLocationAndFeatureExtractionUsingNeuralNetworks_46.pdf - Whole Document
Restricted to Repository staff only

2MB

Official URL: http://www.sciencedirect.com/science/article/pii/0...

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 Science > School of Computer Science
ID Code:5024
Deposited By: Tammie Farley
Deposited On:19 Apr 2012 16:21
Last Modified:13 Mar 2013 09:06

Repository Staff Only: item control page