Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks

Abstract

We use deep max-pooling convolutional neural networks to detect mitosis in breast histology images. The networks are trained to classify each pixel in the images, using as context a patch centered on the pixel. Simple postprocessing is then applied to the network output. Our approach won the ICPR 2012 mitosis detection competition, outperforming other contestants by a significant margin.

DOI: 10.1007/978-3-642-40763-5_51

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@article{Ciresan2013MitosisDI, title={Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks}, author={Dan C. Ciresan and Alessandro Giusti and Luca Maria Gambardella and J{\"{u}rgen Schmidhuber}, journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention}, year={2013}, volume={16 Pt 2}, pages={411-8} }