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Machine learning (ML) and quantitative phase imaging scoring of epithelial and mesenchymal features of cancer cells

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Abstract

ML is useful for classifying cells based on features derived from quantitative phase images. However, classifying cells with graded phenotype remains challenging. To address this, several ML algorithms were trained and validated on reconstructed phase images.

© 2020 The Author(s)

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