Smart Doctor: Performance of Supervised ART-I Artificial Neural Network for Breast Cancer Diagnoses

Abstract

Wisconsin Breast Cancer Dataset (WBCD) was employed to show the performance of the Adaptive Resonance Theory (ART), specifically the supervised ART-I Artificial Neural Network (ANN), to build a breast cancer diagnosis smart system. It was fed with different learning parameters and sets. The best result was achieved when the model was trained with 50% of the data and tested with the remaining 50%. Classification accuracy was compared to other artificial intelligence algorithms, which included fuzzy classifier, MLP-ANN, and SVM. We achieved the highest accuracy with such low learning/testing ratio.

Enhanced Supervised Principal Component Analysis for Cancer Classification

“…is a goodness-of-fit that measures how represent the original variables lower-dimensional space. should be small, and a large proportion of the total variation in is explained by the first principal component [7].…”

“…As stated in the discussion in the previous section, PCA finds the direction of maximum variation ofdimensional space; this can be used as a reduction and pre-processing operation for classification. PCA is an unsupervised classifier, unlike Fisher Discernment Analysis (FDA) [7]; however, SPCA is a generalized method of PCA. SPCA has some advantages over FDA, and it can use label information for classification tasks.…”

“…In the area of statistics and machine learning, classification problems have been broadly studied. In the past, many classification algorithms had been proposed, such as Naïve Bayes [5], linear decrement analysis [6], neural network [7], Decision Tree [8], support vector machine [9], k-nearest neighbor [10], etc. For most of these algorithms, the authors did not pay more attention to the time, and they were only concerned with classification accuracy.…”

Automatic Pectoral Muscles Detection and Removal in Mammogram Images

“…Breast cancer is the second leading cause of cancer related death in women. However, early detection and diagnostics of breast cancer is substantially increasing the chance of survival [1,2]. Mammography is a commonly used screening method and the most effective technique for early detection of breast cancer that helps radiologists and doctors, not only to diagnose breast cancer but also to follow-up patients with breast cancer.…”