Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks

Dan C. Cirean, Alessandro Giusti, Luca M. Gambardella, and Jürgen Schmidhuber

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.

LNCS 8150, p. 411 ff.

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