Neural classification of abnormal tissue in digital mammography using statistical features of the texture

The authors investigated the efficiency of neural classifiers in recognizing cancer regions of suspicion (ROS) on mammograms. Radial-basis-function (RBF) networks and multilayer perceptron (MLP) neural networks are used to classify ROS including all kinds of abnormalities by processing two types of...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Christoyianni, I., Dermatas, E., Kokkinakis, G.
Format:	Tagungsbericht
Sprache:	eng ; jpn
Schlagworte:	Cancer Computational complexity Mammography Multi-layer neural network Multilayer perceptrons Neural networks Radial basis function networks Spatial databases Statistics Time measurement
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