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Quantifying the deformability of malaria-infected red blo... | ResearchHub
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Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells
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Authors
Daniel Rademaker
11 more
Daniel Rademaker
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Peter Hoen
9 more
•
Nicholas Proellochs
Published
December 16, 2022
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Preprint Server
Topics
Biology
Artificial Intelligence
Computer Science
Medicine
Immunology
Show all topics
DOI
10.1101/2022.12.16.520724
License
CC-BY-NC
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Artificial Intelligence
Computer Science
Medicine
Immunology
Show all topics
DOI
10.1101/2022.12.16.520724
License
CC-BY-NC
Other Formats
PDF
