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Mammography Lesion Detection Using Faster R-CNN Detector

Authors

Reza Reiazi1*, Reza Paydar1, Ali Abbasian Ardakani1, Maryam Etedadialiabadi2, 1Iran University of Medical Sciences, Iran and 2Milad Hospital, Iran

Abstract

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.

Keywords

Mammography, Convolution Neural Network, R-CNN, lesion

Full Text  Volume 8, Number 2