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Development of Automatic Classification System for Mammographic Masses:Saw-tooth Region Detection Method for Recognition of Mass Contour Shapes
Shape recognition classification of malignancy computer-aided diagnosis mammogram
2009/6/9
The corresponding accuracy using manually drawn contours was 88% (141/160). As a result of benign/malignant classification using this method, the classification rate was 84% (169/202) and the value wa...
Intelligent Bayes Classifier (IBC) for ENT infection classification in hospital environment
Intelligent Bayes Classifier (IBC) ENT infection classification hospital environment
2010/2/26
Electronic Nose based ENT bacteria identification in hospital environment is a classical and challenging problem of classification. In this paper an electronic nose (e-nose), comprising a hybrid array...
Classification of the extracellular fields produced by activated neural structures
the extracellular fields activated neural structures
2010/2/26
For an axon of arbitrary shape, it is shown that a quadrupolar potential is generated by action potentials traveling along a straight axon. However, a dipole moment is generated at any point where an ...