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 |
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Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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