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Fig. 6 | BMC Bioinformatics

Fig. 6

From: Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines

Fig. 6

Assessment of relevant metrics as a function of training the UF-UNet model on TissueNet dataset. ROI Level F1 Score for different A Training Sizes and B Training iterations. Pixel level C MCC Score for different Training sizes and D FDR for different Training iterations. Feature level Histogram Intersection of Area for different E Training Sizes and F Training iterations. n.s.—not significant

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BMC Bioinformatics

ISSN: 1471-2105

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