ZFIN Image: Kugler et al., 2022, Fig. 7

Image

Figure Caption

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.

Acknowledgments

This image is the copyrighted work of the attributed author or publisher, and ZFIN has permission only to display this image to its users. Additional permissions should be obtained from the applicable author or publisher of the image. Full text @ Curr Protoc