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• W2947512530 abstract "Introduction: We propose a novel approach for the assessment of the similarity of retinal vessel segmentation images that is based on linking the standard performance metrics of a segmentation algorithm, with the actual structural properties of the images through the fractal dimension.Method: We apply our methodology to compare the vascularity extracted by automatic segmentation against manually segmented images.Results: We demonstrate that the strong correlation between the standard metrics and fractal dimension is preserved regardless of the size of the subimages analyzed.Discussion or Conclusion: We show that the fractal dimension is correlated to the segmentation algorithm’s performance and therefore it can be used as a comparison metric." @default.
• W2947512530 created "2019-06-07" @default.
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• W2947512530 date "2019-05-29" @default.
• W2947512530 modified "2023-09-27" @default.
• W2947512530 title "A proposal to measure the similarity between retinal vessel segmentations images" @default.
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• W2947512530 doi "https://doi.org/10.21640/ns.v11i22.1872" @default.
• W2947512530 hasPublicationYear "2019" @default.
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