Detection of malignancy associated changes in cervical cell nuclei using feed-forward neural networks

It has been recognized that normal cells in the presence of a precancerous lesion undergo subtle changes that affect the DNA distribution in their nuclei. These changes have been termed Malignancy Associated Changes (MACs). This thesis examines the design of a classifier that separates normal sli...

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Bibliographic Details
Main Author: Kemp, Roger
Language:English
Published: 2009
Online Access:http://hdl.handle.net/2429/5141