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Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning

Emma Chen, View ORCID ProfileMikhail Y. Shalaginov, Rory Liao, Tingying Helen Zeng
doi: https://doi.org/10.1101/2022.10.22.513362
Emma Chen
1Acton-Boxborough Regional High School, Acton, MA 01720, USA
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  • For correspondence: 23chene@abschools.org
Mikhail Y. Shalaginov
2Department of Materials Sciences and Engineering, MIT, Cambridge, MA 02139, USA
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  • For correspondence: mys@mit.edu
Rory Liao
3Department of Computer Science and Engineering, Ohio State University, Columbus, OH 43210, USA
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  • For correspondence: liao.675@osu.edu
Tingying Helen Zeng
4Division of Career Education, Academy for Advanced Research and Development, Cambridge, MA 02142, USA
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  • For correspondence: helen.zeng@ardacademy.org mys@mit.edu
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  • https://github.com/echen053/all-cell-detection

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Posted October 24, 2022.
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Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning
Emma Chen, Mikhail Y. Shalaginov, Rory Liao, Tingying Helen Zeng
bioRxiv 2022.10.22.513362; doi: https://doi.org/10.1101/2022.10.22.513362
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Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning
Emma Chen, Mikhail Y. Shalaginov, Rory Liao, Tingying Helen Zeng
bioRxiv 2022.10.22.513362; doi: https://doi.org/10.1101/2022.10.22.513362

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