Abstract:
:The aim of this study was to provide mathematical descriptors for the border of pigmented skin lesion images and to assess their efficacy for distinction among different lesion groups. New descriptors such as lesion slope and lesion slope regularity are introduced and mathematically defined. A new algorithm based on the Catmull-Rom spline method and the computation of the gray-level gradient of points extracted by interpolation of normal direction on spline points was employed. The efficacy of these new descriptors was tested on a data set of 510 pigmented skin lesions, composed by 85 melanomas and 425 nevi, by employing statistical methods for discrimination between the two populations.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Grana C,Pellacani G,Cucchiara R,Seidenari Sdoi
10.1109/TMI.2003.815901subject
Has Abstractpub_date
2003-08-01 00:00:00pages
959-64issue
8eissn
0278-0062issn
1558-254Xjournal_volume
22pub_type
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