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From the same journal

CHROMOSOME LOCATION AND FEATURE-EXTRACTION USING NEURAL NETWORKS

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Publication details

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

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.

    Research areas

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

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