Breast Cancer Detection using Convolutional Neural Networks
Ömer Faruk Ereken, Çiğdem Tarhan
Abstract
Breast cancer is one of the most common cancers, especially among women. If diagnosed early, the treatment process can be easier and more successful. For this reason, it is of great importance to reach the right result quickly in the scans performed. Deep learning algorithms are one of the methods that can be used in the diagnosis of breast cancer because they provide fast and successful analysis opportunities. Convolutional Neural Networks (CNN), which is one of the deep learning methods, provides high success in image-based analysis. This article includes a research and application study on breast cancer diagnosis with CNNs. With the created CNN model, successful predictions with an recall of 84% were made.