Enhancing yeast cell tracking with a time-symmetric deep learning approach.

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Title: Enhancing yeast cell tracking with a time-symmetric deep learning approach.
Authors: Szabó, Gergely1 (AUTHOR) szabo.gergely@itk.ppke.hu, Bonaiuti, Paolo2 (AUTHOR), Ciliberto, Andrea1,2 (AUTHOR), Horváth, András1 (AUTHOR) horvath.andras@itk.ppke.hu
Source: NPJ Systems Biology & Applications. 3/13/2025, Vol. 11 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22NPJ+Systems+Biology+%26+Applications%22">NPJ Systems Biology & Applications</searchLink>. 3/13/2025, Vol. 11 Issue 1, p1-14. 14p.
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      – Type: doi
        Value: 10.1038/s41540-024-00466-x
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      – Code: eng
        Text: English
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      – TitleFull: Enhancing yeast cell tracking with a time-symmetric deep learning approach.
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            NameFull: Bonaiuti, Paolo
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            NameFull: Ciliberto, Andrea
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              Text: 3/13/2025
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              Y: 2025
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