10.7IVMar 3, 2022
Panoptic segmentation with highly imbalanced semantic labelsJosef Lorenz Rumberger, Elias Baumann, Peter Hirsch et al.
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 our method are a weighted loss specifically engineered for semantic segmentation of highly imbalanced cell types, and a state-of-the art nuclei instance segmentation model, which we combine in a Hovernet-like architecture.