Multilayer Perceptron Approach in Breast Cancer Diagnosis

  • Emine Avşar Aydin 1- Adana Alparslan Türkeş Science and Technology University, Department of Aerospace Engineering, Adana, Turkey.
  • Gözde Saribaş Çukurova University, Department of Biomedical Engineering, Adana, Turkey.
Keywords: Diagnosis, Machine Learning, Multilayer Perceptron, Breast Cancer

Abstract

Many diseases cause death in people around the world. One of them is cancer, and many types of cancer diseases are seen today. One of the cancer types that cause the most death is Breast Cancer. Early diagnosis has an essential place in Breast Cancer as it is crucial in every disease. Thanks to early diagnosis, the patient's survival rate increases as a result of the treatment applied. Today, many studies are carried out and developed to be able to diagnose breast cancer early. The work done with the algorithms found in machine learning is just one example. In this paper, MLP (Multilayer Perceptron), which is one of the Machine Learning methods, and the algorithm in Breast Cancer Diagnosis is explained using the data collected in the Department of General Surgery, University Wisconsin, Center of Clinical Sciences.

References

[1] F. E. Aslan and A. Gürkan, “Kadinlarda meme kanseri risk düzeyi,” Meme Sağliği Derg., Vol. 3, pp. 63–68, 2007.
[2] Acıbadem, “Kanser Nedir?,” T.C. Sağlık Bakanlığı Halk Sağlığı Genel Müdürlüğü Kanser Dairesi Başkanlığı, 1991., Retrieved from https://www.acibadem.com.tr/acibadem-de/kanser-onkoloji/
[3] Dua, D. and Graff, C. (2019). UCI Machine Learning Repositor, Retrieved from [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
[4] O. TAŞOVA, “Yapay sinir ağları ile yüz tanıma.” DEÜ Fen Bilimleri Enstitüsü, 2011.
[5] G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets," Neural Comput., Vol. 18, No. 7, pp. 1527–1554, 2006.
[6] A. G. Parlos, B. Fernandez, A. F. Atiya, J. Muthusami, and W. K. Tsai, "An accelerated learning algorithm for multilayer perceptron networks," IEEE Trans. Neural Networks, Vol. 5, No. 3, pp. 493–497, 1994.
[7] Stephen, "Perceptron-based learning algorithms," IEEE Trans. neural networks, Vol. 50, No. 2, p. 179, 1990.
[8] Veri Madenciliğinde Sınıflandırma Algoritmalarının Bir Örnek Üzerinde Karşılaştırılması Cengiz COŞKUN1, Yrd. Doç. Dr. Abdullah BAYKAL2
Published
2020-12-01
How to Cite
Avşar Aydin, E., & Saribaş, G. (2020). Multilayer Perceptron Approach in Breast Cancer Diagnosis. Majlesi Journal of Telecommunication Devices, 9(4), 161-164. Retrieved from http://journals.iaumajlesi.ac.ir/td/index/index.php/td/article/view/647
Section
Articles