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Transfer learning is an important technique to improve the model generalizability, which is crucial to apply Raman spectroscopy in biological applications considering the substantial spectral variations between batches. We systematically investigated the limit of existent model transfer methods and explored the possibilities of deep learning-based approaches in cases of limited sample size.
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Guo et al. (2024) studied this question.
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