Multilayer Perceptron Approach in Breast Cancer Diagnosis

Subject Areas : Majlesi Journal of Telecommunication Devices

Emine Avşar Aydin ¹ , Gözde Saribaş ²

1 - 1- Adana Alparslan Türkeş Science and Technology University, Department of Aerospace Engineering, Adana, Turkey.
2 - Çukurova University, Department of Biomedical Engineering, Adana, Turkey.

Received: 2020-11-22 Accepted : 2020-11-25 Published : 2020-12-01

Keywords: Multilayer Perceptron, Machine Learning, Diagnosis, 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.

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