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Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks

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Cell counting from cell cultures is required in multiple biological and biomedical research applications. Especially, accurate brightfield-based cell counting methods are needed for cell growth analysis. With deep learning, cells can be detected with high accuracy, but manually annotated training data is required.

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Nội dung Text: Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks

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