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Title:Visual Cues Do Not Improve Lesion ABC(D) Grading
Authors: Matteo Zanotto ; Lucia Ballerini ; Aldridge Ben ; Robert Fisher ; Rees Jonathan
Date: 2011
Publication Title:SPIE Medical Imaging 2011
Publisher:SPIE
Publication Type:Conference Paper Publication Status:Other
Abstract:
In this work evidence is presented supporting the hypothesis that observers tend to evaluate very differently the same properties of given skin-lesion images. Results from previous experiments have been compared to new ones obtained where we gave additional prototypical visual cues to the users during their evaluation trials. Each property (colour, colour uniformity, asymmetry, border regularity, roughness of texture) had to be evaluated on a 0--10 range, with both linguistic descriptors and visual references at each end and in the middle (e.g. light/medium/dark for colour). A set of 22 images covering different clinical diagnoses has been used in the comparison with previous results. Statistical testing showed that only for a few test images the inclusion of the visual anchors reduced the variability of the grading for some of the properties. Despite such reduction, though, the average variance of each property still remains high even after the inclusion of the visual anchors. When considering each property, the average variance significantly changed for the roughness of texture, where the visual references caused an increase in the variability. With these results we can conclude that the variance of the answers observed in the previous experiments was not due to the lack of a standard definition of the extrema of the scale, but rather to a high variability in the way observers perceive and understand skin-lesion images.
Copyright:
2011 by The University of Edinburgh. All Rights Reserved
Links To Paper
No links available
Bibtex format
@InProceedings{EDI-INF-RR-1397,
author = { Matteo Zanotto and Lucia Ballerini and Aldridge Ben and Robert Fisher and Rees Jonathan },
title = {Visual Cues Do Not Improve Lesion ABC(D) Grading},
book title = {SPIE Medical Imaging 2011},
publisher = {SPIE},
year = 2011,
}


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