Ciresan, Dan Claudio and Giusti, Alessandro and Gambardella, Luca Maria and Schmidhuber, Juergen (2013) Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks. In: MICCAI, Nagoya, Japan.
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miccai2013.pdf - Accepted Version Download (4MB) |
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miccai2013poster.pdf - Presentation Download (1MB) |
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.
| Item Type: | Article in conference proceedings or Presentation at a conference (Poster) |
|---|---|
| Subjects: | Computer sciences > Artificial intelligence > Neural computing Computer sciences > Artificial intelligence > Computer vision Computer sciences > Health informatics > Bioinformatics |
| Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI |
| Depositing User: | Dan Claudiu Ciresan |
| Date Deposited: | 14 Mar 2014 07:57 |
| Last Modified: | 14 Mar 2014 07:57 |
| URI: | http://repository.supsi.ch/id/eprint/4284 |
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