Early Skin Cancer Detection Using Computer Aided Diagnosis Techniques
Keywords
colour constancy; computer aided diagnosis; Melanoma; skin lesion analysis
Abstract
There is a critical need to develop a system to detect melanoma cancer early. Melanoma cancer cells have uneven border shapes, angular edges and also colour variations are found in these type of cells. To detect melanoma in its early stage, cell colour, its shape and texture on the surface of the skin need to be studied extensively. There are two Computer Aided Diagnosis (CAD) techniques which are used for early skin cancer detection include colour constancy approach and skin lesion analysis. In this paper the authors perform a comparative study between colour constancy and skin lesion analysis for early skin cancer detection on EDRA database.
Publication Date
6-30-2016
Publication Title
Journal of Integrated Design and Process Science
Volume
20
Issue
1
Number of Pages
33-43
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.3233/jid-2016-0002
Copyright Status
Unknown
Socpus ID
84978427855 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84978427855
STARS Citation
Fernandes, Steven Lawrence; Chakraborty, Baisakhi; Gurupur, Varadraj P.; and Ananth, Prabhu G., "Early Skin Cancer Detection Using Computer Aided Diagnosis Techniques" (2016). Scopus Export 2015-2019. 3125.
https://stars.library.ucf.edu/scopus2015/3125