Domain-incremental white blood cell classification with privacy-aware continual learning

URN to cite this document:: urn:nbn:de:bvb:355-epub-771582
DOI to cite this document:: 10.5283/epub.77158

Kumari, Pratibha ; Bozorgpour, Afshin ; Reisenbüchler, Daniel ; Jost, Edgar ; Crysandt, Martina ; Matek, Christian ; Merhof, Dorit

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 16 Jul 2025 06:27

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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 hospitals. Traditional deep learning models often suffer from catastrophic forgetting in such dynamic environments, ...