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. 2010:2010:621357.
doi: 10.1155/2010/621357. Epub 2010 Mar 14.

Size functions for the morphological analysis of melanocytic lesions

Massimo Ferri  1 , Ignazio Stanganelli
Affiliations

Size functions for the morphological analysis of melanocytic lesions

Massimo Ferri et al. Int J Biomed Imaging. 2010.

Abstract

Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry, performed by halving images by several lines through the center of mass, and comparing the two halves in terms of color, mass distribution, and boundary. The program is used, at clinical level, with two thresholds, so that comparison of the two outputs produces a report of low-middle-high risk. Experimental results on 977 images, with cross-validation, are reported.

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Figures

Figure 1
Figure 1
A curve and its Size Function.
Figure 2
Figure 2
The matching distance.
Figure 3
Figure 3
A segmentation example.
Figure 4
Figure 4
One of the splittings of a lesion and the whole curve of distances.
Figure 5
Figure 5
The ROC curve of the single-set S test.
See this image and copyright information in PMC

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