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Figure 6 | BMC Bioinformatics

Figure 6

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

Figure 6

Example 2D images that were misclassified by the original neural network classifier but could be correctly classified using the best performing ensemble classifier using SLF16. From among the images incorrectly classified by the neural network for each class, the image that was most frequently classified accurately 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), nucleolin (F), actin (G), transferrin receptor (H), and tubulin (I). The only DNA image that was misclassified by the original neural network classifier was also missed by the ensemble.

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