Search Results for author: Matthias W. Beckmann

Found 2 papers, 0 papers with code

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks

no code implementations11 Nov 2022 Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger

We show the suitability of Generative Adversarial Networks (GANs) and especially diffusion models to create realistic images based on subtype-conditioning for the use case of HER2-stained histopathology.

Segmentation Tumor Segmentation

Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation

no code implementations19 Jan 2022 Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter Fasching, Andreas Maier, Ramona Erber, Katharina Breininger

When evaluating the approaches on fully manually annotated images, we observe that the autoencoder-based superpixels achieve a 23% increase in boundary F1 score compared to the baseline SLIC superpixels.

Clustering Denoising +5

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