Rumberger, Josef Lorenz; Baumann, Elias; Hirsch, Peter; Janowczyk, Andrew; Zlobec, Inti; Kainmueller, Dagmar (28 March 2022). Panoptic segmentation with highly imbalanced semantic labels. In: 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC). 10.1109/ISBIC56247.2022.9854551
![[img]](https://boris.unibe.ch/style/images/fileicons/text.png) |
Text
Panoptic_segmentation_with_highly_imbalanced_semantic_labels.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (1MB) | Request a copy |
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.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Service Sector > Institute of Pathology |
Graduate School: |
Graduate School for Cellular and Biomedical Sciences (GCB) |
UniBE Contributor: |
Baumann, Elias, Zlobec, Inti |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health |
Language: |
English |
Submitter: |
Elias Baumann |
Date Deposited: |
07 Dec 2023 12:40 |
Last Modified: |
07 Dec 2023 12:40 |
Publisher DOI: |
10.1109/ISBIC56247.2022.9854551 |
BORIS DOI: |
10.48350/189909 |
URI: |
https://boris.unibe.ch/id/eprint/189909 |
Actions (login required)
 |
Edit item |