Classification of flourescence in situ hybridization images using belief networks

Authors:
Roy Malka;Boaz Lerner
Affiliations:
Pattern Analysis and Machine Learning Lab, Department of Electrical and Computer Engineering, Ben-Gurion University, P.O. Box 653, Beer-Sheva 84105, Israel;Pattern Analysis and Machine Learning Lab, Department of Electrical and Computer Engineering, Ben-Gurion University, P.O. Box 653, Beer-Sheva 84105, Israel
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

The structure and parameters of a belief network are learned in order to classify images enabling the detection of genetic abnormalities. We compare a structure learned from the data to another structure obtained utilizing expert knowledge and to the naive Bayesian classifier and study quantization in comparison to density estimation in parameter learning.