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Exploring image colour space transformations and augmentation for creating a classifier to characterise parasitized and uninfected RBCs. Proposes a CNN model that uses the Saturation of the HSV colour model to create a high quality classifier resulting in accuracies of 99.3% and above.

Jupyter Notebook 99.02% Python 0.27% TeX 0.51% PureBasic 0.20%
malaria malaria-detection cnn convolutions machine-learning neural-network

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