Computerized classification of breast lesions: shape and texture analysis using an artificial neural network
Ricardo José Ferrari · 1999
In this study we have investigated two groups of features: shape features, extracted from microcalcifications and texture features, extracted from the original regions of interest (ROI), in order to classify early breast cancers which have microcalcifications associated. These features were analyzed using different topologies of the artificial neural network (ANN) multi-layer perceptron (MLP). The performance of the ANN was analyzed with receiver operating characteristic (ROC) methodology.