Fast density-based lesion detection in dermoscopy images

Abstract Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer variations in human interpretation. One...

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Bibliographic Details
Published in:Computerized medical imaging and graphics 2011-03, Vol.35 (2), p.128-136
Main Authors: Mete, Mutlu, Kockara, Sinan, Aydin, Kemal
Format: Article
Language:English
Subjects:
Algorithms
Assessments
Automated
Borders
CAD
Density-based clustering
Dermoscopy
Dermoscopy - methods
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image understanding
Imaging
Internal Medicine
Lesions
Medical imaging
Melanoma - pathology
Observer Variation
Other
Pattern Recognition, Automated - methods
Recall
Reproducibility of Results
Sensitivity and Specificity
Skin Neoplasms - pathology
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Summary:Abstract Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer variations in human interpretation. One of the most important steps in dermoscopy image analysis is automated detection of lesion borders. In this study, we introduce a border-driven density-based framework to identify skin lesion(s) in dermoscopy images. Unlike the conventional density-based clustering algorithms, proposed algorithm expands regions only at borders of a cluster that in turn speeds up the process without losing precision or recall. In our method, border regions are represented with one or more simple polygons at any time. We tested our algorithm on a dataset of 100 dermoscopy cases with multiple physicians’ drawn ground truth borders. The results show that border error and f -measure of assessment averages out at 6.9% and 0.86 respectively.
ISSN:0895-6111
1879-0771
DOI:10.1016/j.compmedimag.2010.07.007