8 citations · 17 across the 3 of their papers we have counts for
3 papers
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks
Mathias Öttl, Jana Mönius, Matthias Rübner +9
Tumor segmentation in histopathology images is often complicated by its composition of different histological subtypes and class imbalance. Oversampling subtypes with low prevalenc…
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation
Mathias Öttl, Jana Mönius, Christian Marzahl +8
Supervised deep learning has shown state-of-the-art performance for medical image segmentation across different applications, including histopathology and cancer research; however,…
Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification
Frauke Wilm, Michaela Benz, Volker Bruns +10
Automatic outlining of different tissue types in digitized histological specimen provides a basis for follow-up analyses and can potentially guide subsequent medical decisions. The…