An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images.

Application of deep learning convolutional neural networks in malaria diagnosis In the realm of diagnosing malaria, there has been an increasing trend since 2016 to use deep learning approaches [ 14 – 18 ].

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