Classification of Breast Lesions Using Artificial Neural Network
نویسندگان
چکیده
This paper presents a study on classification of breast lesions using artificial neural network. Thirteen morphological features have been extracted from breast lesion cells and used as the neural network inputs for the classification. Multilayered Perceptron Network trained using recursive prediction error algorithm was used to perform the classification task. Unlike the previous studies that only classify the lesion into benign and malignant, this study extends the breast lesions classification into four categories that are malignant, fibroadenoma, fibrocystic disease and other benign cells. Based on 1300 data samples, the proposed system gives good overall diagnostic performance. The system produces 92.78% accuracy, 99.03% sensitivity and 89.58% specificity, while keeping the false negative and positive to some considerable low values.
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