Early Skin Cancer Detection Using Computer Aided Diagnosis Techniques

Article type: Research Article

Authors: Fernandes, Steven Lawrence^{a; *} | Chakraborty, Baisakhi^b | Gurupur, Varadraj P.^c | Prabhu G, Ananth^d

Affiliations: [a] Electronics & Communication, Sahyadri College of Engineering & Management, Karnataka, India | [b] Information Technology, National Institute of Technology, Durgapur, India | [c] Health Management and Informatics, University of Central Florida, Orlando, FL, United States | [d] Computer Science and Engineering, Sahyadri College of Engineering & Management, Karnataka, India

Correspondence: [*] Corresponding author. Email: [email protected]

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.

Keywords: Melanoma, computer aided diagnosis, colour constancy, skin lesion analysis

DOI: 10.3233/jid-2016-0002

Journal: Journal of Integrated Design and Process Science, vol. 20, no. 1, pp. 33-43, 2016