Expert‐level automated malaria diagnosis on routine blood films with deep neural networks
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DOI: 10.1002/ajh.25827
Abstract: Over 200 million malaria cases globally lead to half a million deaths annually. Accurate malaria diagnosis remains a challenge. Automated imaging processing approaches to analyze Thick Blood Films (TBF) could provide scalable solutions, for urban… read more here.
Keywords: automated malaria; blood films; malaria diagnosis; diagnosis ... See more keywords