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 :
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