Fig. 11From: Towards pixel-to-pixel deep nucleus detection in microscopy imagesComparison between FRCN learning with and without auxiliary data. For each target dateset (i.e., cervix, colorectum or kidney), all its training data are mixed with different numbers of auxiliary training data (x-axis represents the percentage of auxiliary training data)Back to article page