Classification of fluorescence in situ hybridization images using belief networks
نویسندگان
چکیده
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. 2004 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 25 شماره
صفحات -
تاریخ انتشار 2004