CHROMOSOME LOCATION AND FEATURE-EXTRACTION USING NEURAL NETWORKS

M Turner, J Austin, N M Allinson, P Thompson

Research output: Contribution to journalArticlepeer-review

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. Feature extraction is to form the first stage in a neural network system applied to the problem of recognizing structural aberrations in chromosomes.

Original languageEnglish
Pages (from-to)235-239
Number of pages5
JournalImage and Vision Computing
Volume11
Issue number4
DOIs
Publication statusPublished - May 1993

Keywords

  • NEURAL NETWORKS
  • SELF-ORGANIZING MAP
  • FEATURE EXTRACTION
  • CHROMOSOME ABERRATIONS

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