9 citations · 10 across the 2 of their papers we have counts for
3 papers
Panoptic segmentation with highly imbalanced semantic labels
Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch +3
We describe here the panoptic segmentation method we devised for our participation in the CoNIC: Colon Nuclei Identification and Counting Challenge at ISBI 2022. Key features of ou…
How Shift Equivariance Impacts Metric Learning for Instance Segmentation
Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch +6
Metric learning has received conflicting assessments concerning its suitability for solving instance segmentation tasks. It has been dismissed as theoretically flawed due to the sh…
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Peter Hirsch, Dagmar Kainmueller
Segmentation of cell nuclei in microscopy images is a prevalent necessity in cell biology. Especially for three-dimensional datasets, manual segmentation is prohibitively time-cons…