Domain-incremental white blood cell classification with privacy-aware continual learning
Abstract White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caused by variations in sample sources (e.g., blood or bone marrow) and differing imaging conditions across hospita...
Saved in:
| Main Authors: | Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Crysandt, Christian Matek, Dorit Merhof |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-08024-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Uncertainty aware domain incremental learning for cross domain depression detection
by: Zita Lifelo, et al.
Published: (2025-07-01) -
Privacy-Preserving Federated Class-Incremental Learning
by: Jue Xiao, et al.
Published: (2024-01-01) -
Class Incremental Learning With Large Domain Shift
by: Kamin Lee, et al.
Published: (2024-01-01) -
Aggregation and Pruning for Continuous Incremental Multi-Task Inference
by: Lining Li, et al.
Published: (2025-04-01) -
Continuous location privacy protection mechanism based on differential privacy
by: Hongtao LI, et al.
Published: (2021-08-01)