CHROMOSOME LOCATION AND FEATURE-EXTRACTION USING NEURAL NETWORKS

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Image and Vision Computing (Journal)
Edwin R Hancock (Editorial board member)
2009
Activity: Publication peer-review and editorial work › Editorial board

Research output: Contribution to journal › Article › peer-review

Published copy (DOI)

http://dx.doi.org/10.1016/0262-8856(93)90041-E

Author(s)

M Turner
J Austin
N M Allinson
P Thompson

Department/unit(s)

Publication details

Journal	Image and Vision Computing
Date	Published - May 1993
Issue number	4
Volume	11
Number of pages	5
Pages (from-to)	235-239
Original language	English

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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