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ŠTRBKOVÁ, L. VESELÝ, P. CHMELÍK, R.
Original Title
Classification of cells in time-lapse quantitative phase image by supervised machine learning
Type
abstract
Language
English
Original Abstract
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.
Keywords
quantitative phase image
Authors
ŠTRBKOVÁ, L.; VESELÝ, P.; CHMELÍK, R.
Released
23. 5. 2019
Publisher
OSA Technical Digest (Optical Society of America, 2019)
ISBN
978-194358059-0
Book
Digital Holography and Three-Dimensional Imaging 2019
Pages count
2
URL
https://www.osapublishing.org/abstract.cfm?URI=DH-2019-Th3A.39
BibTex
@misc{BUT170348, author="Lenka {Štrbková} and Pavel {Veselý} and Radim {Chmelík}", title="Classification of cells in time-lapse quantitative phase image by supervised machine learning", booktitle="Digital Holography and Three-Dimensional Imaging 2019", year="2019", pages="2", publisher="OSA Technical Digest (Optical Society of America, 2019)", doi="10.1364/DH.2019.Th3A.39", isbn="978-194358059-0", url="https://www.osapublishing.org/abstract.cfm?URI=DH-2019-Th3A.39", note="abstract" }