Chromosome location and feature extraction using neural networks

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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.

论文关键词:neural networks,self-organizing map,feature extraction,chromosome aberrations

论文评审过程:Received 22 July 1992, Revised 30 November 1992, Available online 10 June 2003.

论文官网地址:https://doi.org/10.1016/0262-8856(93)90041-E