DocumentCode
2618599
Title
Review on automatic early skin cancer detection
Author
Hoshyar, Azadeh Noori ; Al-Jumaily, Adel ; Sulaiman, Riza
Author_Institution
Dept. of Comput. Sci., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear
2011
fDate
27-29 June 2011
Firstpage
4036
Lastpage
4039
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.
Keywords
cancer; feature extraction; image segmentation; medical image processing; patient diagnosis; skin; Australia; automatic diagnosis; automatic early skin cancer detection; feature extraction; image segmentation; melanoma detection; melanoma treatment; Feature extraction; Image segmentation; Lesions; Malignant tumors; Skin; Skin cancer; automatic detection; cancer classification; cancer feature extraction; cancer segmentation; skin cancer detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974581
Filename
5974581
Link To Document