Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-10-30
Computerized Medical Imaging and Graphics 33 (2009) 148--153
Computer Science
Computer Vision and Pattern Recognition
10 pages, 1 figure, 3 tables
Scientific paper
10.1016/j.compmedimag.2008.11.00
Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, computerized analysis of dermoscopy images has become an important research area. One of the most important steps in dermoscopy image analysis is the automated detection of lesion borders. Methods: In this article, we present a systematic overview of the recent border detection methods in the literature paying particular attention to computational issues and evaluation aspects. Conclusion: Common problems with the existing approaches include the acquisition, size, and diagnostic distribution of the test image set, the evaluation of the results, and the inadequate description of the employed methods. Border determination by dermatologists appears to depend upon higher-level knowledge, therefore it is likely that the incorporation of domain knowledge in automated methods will enable them to perform better, especially in sets of images with a variety of diagnoses.
Celebi Emre M.
Iyatomi Hitoshi
Schaefer Gerald
Stoecker William V.
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