Open AccessUnified approach for lesion border detection based on mixture modeling and local entropy thresholding
Author(s) -
Abbas Qaisar,
Garcia Irene Fondón,
Emre Celebi M.,
Ahmad Waqar,
Mushtaq Qaisar
Publication year - 2013
Publication title -
skin research and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.521
H-Index - 69
eISSN - 1600-0846
pISSN - 0909-752X
DOI - 10.1111/srt.12047
Subject(s) - thresholding , artificial intelligence , preprocessor , computer science , pattern recognition (psychology) , pixel , entropy (arrow of time) , smoothing , ground truth , word error rate , false positive rate , computer vision , image (mathematics) , physics , quantum mechanics
Computer-aided design (CAD) methods are highly valuable for the analysis of skin lesions using digital dermoscopy due to low rate of diagnostic accuracy of expert dermatologist. In computerized diagnostic methods, automatic border detection is the first and crucial step.