Improving the generalizability of white blood cell classification with few-shot domain adaptation
The morphological classification of nucleated blood cells is fundamental for the diagnosis of hematological diseases. Many Deep Learning algorithms have been implemented to automatize this classification task, but most of the time they fail to classify images coming from different sources. This is k...
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Main Authors: | Manon Chossegros (Author), François Delhommeau (Author), Daniel Stockholm (Author), Xavier Tannier (Author) |
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Format: | Book |
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Elsevier,
2024-12-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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