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Christian Marzahl M. Sc.

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

The goal of this project is the quantification of pulmonary hemosiderophages in cytology slides with deep learning based object detection methods.


Key features:

1) Pulmonary emosiderophage classification with human comparable performance

2) Explanatory and reproducible cell classification outcomes

3) RetinaNet based object detection in less than two minutes for whole slide images (40.000 x 40.000 Pixel)