Extended Data Fig. 7: The recall, precision, and F1 score of SUNS were superior to that of other methods on a variety of datasets. | Nature Machine Intelligence

Extended Data Fig. 7: The recall, precision, and F1 score of SUNS were superior to that of other methods on a variety of datasets.

From: Segmentation of neurons from fluorescence calcium recordings beyond real time

Extended Data Fig. 7

a, Training on one ABO 275 μm video and testing on nine ABO 275 μm videos (each data point is the average over each set of nine test videos, n = 10); b, Training on ten ABO 275 μm videos and testing on ten ABO 175 μm videos (n = 10); c, Training on one Neurofinder video and testing on one paired Neurofinder video (n = 12); d, Training on three-quarters of one CaImAn video and testing on the remaining quarter of the same CaImAn video (n = 16). The F1 scores of SUNS were mostly significantly higher than the F1 scores of other methods (*P < 0.05, **P < 0.005, ***P < 0.001, n.s. - not significant; two-sided Wilcoxon signed-rank test; error bars are s.d.). The gray dots represent the individual scores for each round of cross-validation.

Back to article page