Review on automatic early skin cancer detection

Hoshyar, AN; Al-Jumaily, A; Sulaiman, R

Review on automatic early skin cancer detection

Hoshyar, AN Al-Jumaily, A

Sulaiman, R

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Publication Type:: Conference Proceeding
Citation:: 2011 International Conference on Computer Science and Service System, CSSS 2011 - Proceedings, 2011, pp. 4036 - 4039
Issue Date:: 2011-09-07

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Field	Value	Language
dc.contributor.author	Hoshyar, AN	en_US
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.contributor.author	Sulaiman, R	en_US
dc.date.issued	2011-09-07	en_US
dc.identifier.citation	2011 International Conference on Computer Science and Service System, CSSS 2011 - Proceedings, 2011, pp. 4036 - 4039	en_US
dc.identifier.isbn	9781424497638	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19123
dc.description.abstract	Skin cancer is increasing in different countries especially in Australia. Early detection of skin cancer can treat melanoma successfully, therefore, curability and survival depends directly on removing melanoma in its early stages. Since clinical observations face to different fault for melanoma detection, the automatic diagnosis can help to increase the accuracy of detection. Reviewing the researches have done in skin cancer detection and providing the overview on automatic detection of skin cancer are the ultimate aims of this paper. It presents the literature on automatic skin cancer detection and describes the different steps of such process. © 2011 IEEE.	en_US
dc.relation.ispartof	2011 International Conference on Computer Science and Service System, CSSS 2011 - Proceedings	en_US
dc.relation.isbasedon	10.1109/CSSS.2011.5974581	en_US
dc.title	Review on automatic early skin cancer detection	en_US
dc.type	Conference Proceeding
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	080106 Image Processing	en_US
dc.location.activity	Nanjing, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Skin cancer is increasing in different countries especially in Australia. Early detection of skin cancer can treat melanoma successfully, therefore, curability and survival depends directly on removing melanoma in its early stages. Since clinical observations face to different fault for melanoma detection, the automatic diagnosis can help to increase the accuracy of detection. Reviewing the researches have done in skin cancer detection and providing the overview on automatic detection of skin cancer are the ultimate aims of this paper. It presents the literature on automatic skin cancer detection and describes the different steps of such process. © 2011 IEEE.

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http://hdl.handle.net/10453/19123