AimSeg: A machine-learning-aided tool for axon, inner tongue and myelin segmentation
Fig 6
Segmentation metrics and agreement between the control ground truth and the AimSeg measurements for the analysis of myelin properties.
(A) Segmentation performance for the instances detected at each AimSeg stage. (A, left) F1 score plotted for increasing intersection over union (IoU) thresholds. (A, right) Average F1 score, precision, recall, and Jaccard index. (B) Comparison of the fibre areas obtained by manually segmenting the images or using AimSeg. (B, left) The measurement agreement is calculated as the Lin’s concordance correlation coefficient (CCC), (B, right) while the measurement bias is assessed by means of a Bland-Altman analysis. Diagonal line in the CCC plot represents perfect agreement (y = x). CCC and Bland-Altman plot for (C) the myelin and (D) the axon g-ratios.