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A proposal to measure the similarity between retinal vessel segmentations images
- Source :
- Nova Scientia, Vol 11, Iss 22 (2019)
- Publication Year :
- 2019
- Publisher :
- Universidad De La Salle Bajío, 2019.
-
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.
Details
- Language :
- English, Spanish; Castilian
- ISSN :
- 20070705
- Volume :
- 11
- Issue :
- 22
- Database :
- Directory of Open Access Journals
- Journal :
- Nova Scientia
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6bdae62817d4fb1b7faf36dae778a15
- Document Type :
- article
- Full Text :
- https://doi.org/10.21640/ns.v11i22.1872