A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer

During last decades, computer-assisted diagnosis systems for medical purposes have been highly developed. However, further research is still needed, especially for the diagnosis of very dangerous diseases such as breast cancer. For diagnosis, deep learning and more precisely Convolutional Neural Networks (CNNs) have shown a high potential in providing an automatic assistance to domain experts. This work explores and analyzes the performance of the state-of-the art CNN model in the problem of breast cancer histopathological images diagnosis.