Fig. 14
From: Trustworthy deep learning for malaria diagnosis using explainable artificial intelligence
Representative sample images from the Harvard Dataverse thick smear dataset. The top row shows examples of Thick_Infected blood smear images, while the bottom row shows examples of Thick_Uninfected images. The dataset exhibits notable variation in staining intensity, cell morphology, and image quality, providing a diverse benchmark for evaluating the robustness of the proposed models.
