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Test-time augmentation for deep learning-based cell segmentation on microscopy images

Recent advancements in deep learning have revolutionized the way microscopy images of cells are processed. Deep learning network architectures have a large number of parameters, thus, in order to reach high accuracy, they require a massive amount of annotated data. A common way of improving accuracy...

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Bibliographic Details
Published in:Sci Rep
Main Authors: Moshkov, Nikita, Mathe, Botond, Kertesz-Farkas, Attila, Hollandi, Reka, Horvath, Peter
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2020
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7081314/
https://ncbi.nlm.nih.gov/pubmed/32193485
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-61808-3
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