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Found 2 papers, 1 papers with code
A Continual Learning Approach for Cross-Domain White Blood Cell Classification
Here, we propose a rehearsal-based continual learning approach for class incremental and domain incremental scenarios in white blood cell classification.
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
Here, we propose a cross-domain adapted autoencoder to extract features in an unsupervised manner on three different datasets of single white blood cells scanned from peripheral blood smears.
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