Mammographic classification with multiple global features
In this thesis several global mammographic features were examined for their ability to classify the mammograms into (1) classes based on the proportion of dense tissue; (2) normal/abnormal groups. A set of 240 digitised mammograms was obtained from the Digital Database for Screening Mammography from...
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| Language: | en_US |
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2007
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| Online Access: | http://hdl.handle.net/1993/2112 |