Fig. 7.

Full-slide classification performance using a pre-trained learned sensing network with a new experimental setup. (a) Zoom-in of a thick smear image captured in Durham, NC with sliding window classification process depicted on the top. (b) Classification map (in yellow) overlayed on top of the experimental image of the thick smear. Here the classification map for the entire thick smear image was generated by the sliding-window technique, using the learned-sensing CNN trained on the data captured in Erlangen, Germany. (c) Human annotation map of same thick smear. (d) Confusion matrix of classification performance.