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Dipl.-Ing. Marc Aubreville

Researcher in the Computer Vision (CV) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

SlideRunner is an open source tool for massive cell annotations in whole slide histology images. 

It has been created in close cooperation between the Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg and the Institute of Veterenary Pathology, Freie Universität Berlin.

All details can be found on the project's github page at:

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A preprint of the paper describing the project can be found on arXiv Opens external link in new windowlink.



Patch-based Carcinoma Classification on Confocal Laser Endomicroscopy Images

At the moment, you can find the source code of the patch-based approach we described in the Scientific Reports (Nature Publishing Group) paper:  

Opens external link in new windowAutomatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning 

The code and according description can be found Opens internal link in current windowhere.