Reza Reiazi^1*, Reza Paydar¹, Ali Abbasian Ardakani¹, Maryam Etedadialiabadi², ¹Iran University of Medical Sciences, Iran and ²Milad Hospital, Iran

Recently availability of large scale mammography databases enable researchers to evaluates advanced tumor detections applying deep convolution networks (DCN) to mammography images which is one of the common used imaging modalities for early breast cancer. With the recent advance of deep learning, the performance of tumor detection has been developed by a great extent, especially using R-CNNs or Region convolution neural networks. This study evaluates the performance of a simple faster R-CNN detector for mammography lesion detection using a MIAS databases.

Mammography, Convolution Neural Network, R-CNN, lesion