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Tackling Malaria Diagnosis in sub-Saharan Africa with Accurate and Scalable Malaria-Parasite Identification from Digitised Blood Films Using Robotic Automation, Computer Vision and Machine Learning
6 Researchers
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Dept of Computer Science
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Dept of Computer Science
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Dept of Computer Science
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Dept of Computer Science
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Dept of Computer Science
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Dept of Computer Science
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