CNNs applied to the NIH malaria dataset reach 97.77% accuracy for parasite detection in segmented RBC patches using 5-fold cross-validation and holdout testing.
A nonlinear mapping approach to stain nor malization in digital histopathology images using image - specific color deconvolution
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Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
CNNs applied to the NIH malaria dataset reach 97.77% accuracy for parasite detection in segmented RBC patches using 5-fold cross-validation and holdout testing.