FIGURE

Fig. 7

ID

ZDB-FIG-220527-13

Publication

Kugler et al., 2022 - Analytical Approaches for the Segmentation of the Zebrafish Brain Vasculature

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Fig. 7

Deep learning results when trained from original data. (A) Original image, (B) enhanced, and (C) segmented using Otsu thresholding (referred to as SE/TH). (D) MIP of SE/TH (green) and original U-Net (magenta) segmentation, showing high degrees of overlap (white), whereas certain vessels were extracted with SE but not U-Net (arrowheads). (E) MIP of SE/TH (green) and SegNet (magenta) segmentation, showing consistent oversegmentation with SegNet. (F) MIP of SE/TH (green) and dU-Net1 (magenta) segmentation, showing high degrees of overlap (white), whereas certain vessels were extracted with SE/TH but not dU-Net1 (arrowheads). (G) MIP of SE/TH (green) and dU-Net2 (magenta) segmentation. (H) MIP of SE/TH (green) and dU-Net3 (magenta) segmentation. (I) Dice coefficient of segmentation outcomes (n = 9; 3 dpf). (J) Quantified vascular volumes. (K-O) Bland-Altman ratio test comparing vascular volume values.

Expression Data

Expression Detail

Antibody Labeling

Phenotype Data

Phenotype Detail

Acknowledgments

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