Roenet: a resnet-based output ensemble for malaria parasite classification

HIGHLIGHTS

• who: Ziquan Zhu et al. from the School of Computing and Mathematical Sciences, University of Leicester, East Midlands, Leicester , RH, UK have published the article: ROENet: A ResNet-Based Output Ensemble for Malaria Parasite Classification, in the Journal: Electronics 2022, 11, x FOR PEER REVIEW 93.5 of /2022/
• what: The authors propose novel method (ROENet) to automatically classify malaria on the blood smear. The authors evaluate the proposed by five-fold cross-validation. Because the tuned Thisisproves that the model an effective tool the to classify malaria parasite datasetResNet-18. in this paper not . . .
  

   

  

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