Panoptic segmentation with highly imbalanced semantic labels
Authors
- J.L. Rumberger
- E. Baumann
- P. Hirsch
- A. Janowczyk
- I. Zlobec
- D. Kainmueller
Journal
- 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC)
Citation
- 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC) 1-4
Abstract
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.