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In the pathological image dataset, there is often a variety of staining conditions.
When similar staining conditions exist only in a specific class, the trained classification model tends to predict class based on the difference in staining conditions.
To avoid classification based on the staining conditions, domain adversarial learning makes the model unable to classify domain labels.
In this code, we define the individual patient as the individual domain.
while we can also determine the domain label as staining conditions by using clustering or something.
Hello, domain_ What does label do and what is its function? thank you
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