Multidimensional Size Functions for Shape Comparison
Journal of Mathematical Imaging and Vision
Incremental-decremental algorithm for computing AT-models and persistent homology
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Methodological review: Computerized analysis of pigmented skin lesions: A review
Artificial Intelligence in Medicine
Classification of hepatic lesions using the matching metric
Computer Vision and Image Understanding
Comparing shapes through multi-scale approximations of the matching distance
Computer Vision and Image Understanding
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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.