| Sector expansion and elliptical modeling of blue-gray ovoids for basal cell carcinoma discrimination in dermoscopy images. | |
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MedLine Citation:
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PMID: 23020816 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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BACKGROUND: Blue-gray ovoids (B-GOs), a critical dermoscopic structure for basal cell carcinoma (BCC), offer an opportunity for automatic detection of BCC. Due to variation in size and color, B-GOs can be easily mistaken for similar structures in benign lesions. Analysis of these structures could afford accurate characterization and automatic recognition of B-GOs, furthering the goal of automatic BCC detection. This study utilizes a novel segmentation method to discriminate B-GOs from their benign mimics. METHODS: Contact dermoscopy images of 68 confirmed BCCs with B-GOs were obtained. Another set of 131 contact dermoscopic images of benign lesions possessing B-GO mimics provided a benign competitive set. A total of 22 B-GO features were analyzed for all structures: 21 color features and one size feature. Regarding segmentation, this study utilized a novel sector-based, non-recursive segmentation method to expand the masks applied to the B-GOs and mimicking structures. RESULTS: Logistic regression analysis determined that blue chromaticity was the best feature for discriminating true B-GOs in BCC from benign, mimicking structures. Discrimination of malignant structures was optimal when the final B-GO border was approximated by a best-fit ellipse. Using this optimal configuration, logistic regression analysis discriminated the expanded and fitted malignant structures from similar benign structures with a classification rate as high as 96.5%. CONCLUSIONS: Experimental results show that color features allow accurate expansion and localization of structures from seed areas. Modeling these structures as ellipses allows high discrimination of B-GOs in BCCs from similar structures in benign images. |
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Authors:
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Pelin Guvenc; Robert W Leander; Serkan Kefel; William V Stoecker; Ryan K Rader; Kristen A Hinton; Sherea M Stricklin; Harold S Rabinovitz; Margaret Oliviero; Randy H Moss |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-10-1 |
Journal Detail:
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Title: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Volume: - ISSN: 1600-0846 ISO Abbreviation: Skin Res Technol Publication Date: 2012 Oct |
Date Detail:
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Created Date: 2012-10-1 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9504453 Medline TA: Skin Res Technol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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© 2012 John Wiley & Sons A/S. |
Affiliation:
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Department of Electrical and Computer Engineering, Southern Illinois University, Edwardsville, IL, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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