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Figure 7 | BMC Bioinformatics

Figure 7

From: Boosting accuracy of automated classification of fluorescence microscope images for location proteomics

Figure 7

Example 2D images that could not be correctly classified by any individual classifier using feature set SLF16. The image that was most frequently classified incorrectly during training of the ensemble classifier was chosen (a random choice was made in the case of ties). ER (A), giantin (B), gpp130 (C), LAMP2 (D), mitochondria (E), and transferrin receptor (F). All images in the other classes could be correctly classified by at least one of the eight classifiers.

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