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Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images
Joint Authors
Schopf, Thomas R.
Kirchesch, Herbert M.
Møllersen, Kajsa
Zortea, Maciel
Hindberg, Kristian
Godtliebsen, Fred
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Commercially available clinical decision support systems (CDSSs) for skin cancer have been designed for the detection of melanoma only.
Correct use of the systems requires expert knowledge, hampering their utility for nonexperts.
Furthermore, there are no systems to detect other common skin cancer types, that is, nonmelanoma skin cancer (NMSC).
As early diagnosis of skin cancer is essential, there is a need for a CDSS that is applicable to all types of skin lesions and is suitable for nonexperts.
Nevus Doctor (ND) is a CDSS being developed by the authors.
We here investigate ND’s ability to detect both melanoma and NMSC and the opportunities for improvement.
An independent test set of dermoscopic images of 870 skin lesions, including 44 melanomas and 101 NMSCs, were analysed by ND.
Its sensitivity to melanoma and NMSC was compared to that of Mole Expert (ME), a commercially available CDSS, using the same set of lesions.
ND and ME had similar sensitivity to melanoma.
For ND at 95% melanoma sensitivity, the NMSC sensitivity was 100%, and the specificity was 12%.
The melanomas misclassified by ND at 95% sensitivity were correctly classified by ME, and vice versa.
ND is able to detect NMSC without sacrificing melanoma sensitivity.
American Psychological Association (APA)
Møllersen, Kajsa& Kirchesch, Herbert M.& Zortea, Maciel& Schopf, Thomas R.& Hindberg, Kristian& Godtliebsen, Fred. 2015. Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images. BioMed Research International،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1055989
Modern Language Association (MLA)
Møllersen, Kajsa…[et al.]. Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images. BioMed Research International No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1055989
American Medical Association (AMA)
Møllersen, Kajsa& Kirchesch, Herbert M.& Zortea, Maciel& Schopf, Thomas R.& Hindberg, Kristian& Godtliebsen, Fred. Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1055989
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1055989