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Conference papers
Supervised machine learning for 3D microscopy without manual annotation: Application to spheroids
Abstract : We demonstrate the possibility to realize supervised machine learning for a cell detection task without having to manually annotate images through the sole use of synthetic images in the training and testing steps of the learning process. This is successfully illustrated on 3D cellular aggregates observed under light sheet fluorescence microscopy with a shallow and deep learning detection approach. A performance of more than 90% of good detection is obtained on real images.
https://hal-univ-lyon1.archives-ouvertes.fr/hal-02289873
Contributor : Marie-Gabrielle Chautard Connect in order to contact the contributor
Submitted on : Tuesday, September 17, 2019 - 10:59:19 AM
Last modification on : Friday, November 19, 2021 - 2:46:13 PM
Contributor : Marie-Gabrielle Chautard Connect in order to contact the contributor
Submitted on : Tuesday, September 17, 2019 - 10:59:19 AM
Last modification on : Friday, November 19, 2021 - 2:46:13 PM