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Fig. 7A. —Graphs show accuracy of results of tissue composition assessment by neural network classifier. Percentage of correctly classified images was used as measure of network's performance. Neural network based on corrected images performed better than that based on uncorrected images. {blacksquare} = thickness-corrected images; {blacktriangleup} = original images. Graphs illustrate results from training (A) and testing (B) sets.