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SD Simeon Christian Daeschler
MB Marie-Hélène Bourget
DD Dorsa Derakhshan
VS Vasudev Sharma
SA Stoyan Ivaylov Asenov
TG Tessa Gordon
JC Julien Cohen-Adad
GB Gregory Howard Borschel
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Performance of the trained model for prediction on new images was evaluated using a separate dataset (Table ​(Table1)1) including a total of 9 light microscopic cross-sectional images of healthy and regenerating rat nerves. Image pixel size was 0.1 µm. In each image, a region of interest (1008 × 1008 pixels = 1 016 064 pixels) was randomly selected and analyzed using automated segmentation in AxonDeepSeg, manual segmentation, and manual straight-line measurements to enable comparison between the three methods. Cropped nerve fibers at the edges of the ROIs, were excluded from the analysis.

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