Self-supervised pretraining for transferable quantitative phase image cell segmentation

In this paper, a novel U-Net-based method for robust adherent cell segmentation for quantitative phase microscopy image is designed and optimised. We designed and evaluated four specific post-processing pipelines. To increase the transferability to different cell types, non-deep learning transfer wi...

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Veröffentlicht in:Biomedical optics express 2021-10, Vol.12 (10), p.6514-6528
Hauptverfasser: Vicar, Tomas, Chmelik, Jiri, Jakubicek, Roman, Chmelikova, Larisa, Gumulec, Jaromir, Balvan, Jan, Provaznik, Ivo, Kolar, Radim
Format: Artikel
Sprache:eng
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