DaNet: Domain-adaptive white blood cell classification through synthetic augmentation and cross-domain feature alignment
Background and Objective:: Automated classification of white blood cells (WBCs) plays a vital role in improving clinical diagnostics and disease monitoring. However, current methods frequently face challenges with generalization, as they depend on training and testing data drawn from the same distri...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Array |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005625000438 |
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