Artificial neural network combined with support vector machine for breast cancer prediction

Keyu Pang

doi:10.1117/12.2659113

23 November 2022 Artificial neural network combined with support vector machine for breast cancer prediction

Keyu Pang

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124542E (2022) https://doi.org/10.1117/12.2659113
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

Breast cancer is a common cancer that threatens many people’s lives, especially women. Early and accurate diagnosis of breast cancer contribute much to improving life qualities of the patients. However, it is challenging to construct a reliable diagnosis model to diagnose breast cancer. In this study, to achieve better performance of the breast cancer diagnosis, a model called ANN-SVM model that hybridizes artificial neural network (ANN) and support vector machine (SVM) is proposed to categorize the breast tumours into benign or malignant. To be more specific, in the process of training artificial neural network, the hidden relationships between features and classification results are detected. The hidden layer in artificial neural network, which contains the information of these relationships can be extracted as input of support vector machine. The final classification results are given by SVM. ANN, SVM and the proposed ANN-SVM model were experimented on Breast Cancer Wisconsin (Diagnostic) Dataset. The performance of each model was evaluated based on accuracy, F1 score, and false-negative rate. From the results, the proposed ANN-SVM model reached the highest accuracy of 98.24% and F1 score of 0.9760, and it achieved the same false-negative rate of 1.17% as artificial neural network did, which was lower than the false-negative rate achieved by support vector machine. It is shown that the proposed ANNSVM model outperformed single ANN and SVM.

Citation Download Citation

Keyu Pang "Artificial neural network combined with support vector machine for breast cancer prediction", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124542E (23 November 2022); https://doi.org/10.1117/12.2659113

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KEYWORDS

Breast cancer

Tumor growth modeling

Artificial neural networks

Breast

Data modeling

Diagnostics

Performance modeling

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