Mitosis detection in breast cancer histology images with deep neural networks
- PMID: 24579167
- DOI: 10.1007/978-3-642-40763-5_51
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.
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