Figure 2From: Random subwindows and extremely randomized trees for image classification in cell biologyPiXiT screenshots when applied on HeLa cells. Parameter settings for the generation of learning set of subwindows (top); classification results of test images within one fold in terms of error rate, confusion matrix, confusion histograms (middle); prediction confidences for one image from class Golgi Gpp (bottom).Back to article page