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 language | English |
---|---|
Pages (from-to) | 235-239 |
Number of pages | 5 |
Journal | Image and Vision Computing |
Volume | 11 |
Issue number | 4 |
DOIs | |
Publication status | Published - May 1993 |
Keywords
- NEURAL NETWORKS
- SELF-ORGANIZING MAP
- FEATURE EXTRACTION
- CHROMOSOME ABERRATIONS