Classification of Cells in Time-Lapse Quantitative Phase Image by Supervised Machine Learning

Lenka Štrbková,Pavel Vesely,Radim Chmelík

Digital Holography and Three-Dimensional Imaging 2019 (2019), paper Th3A.39（2019）

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摘要

This work focuses on the classification of cells in time-lapse quantitative phase images by supervised machine learning. We compare the performance with the classification based on single-time-point quantitative phase images

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