Computer Aided Multi-Parameter Extraction System to Aid Early Detection of Skin Cancer Melanoma

Fatima, R and Khan, Mohammed Zafar Ali and A, Govardhan and Dhruve, K P (2012) Computer Aided Multi-Parameter Extraction System to Aid Early Detection of Skin Cancer Melanoma. International Journal of Computer Science and Network Security, 12 (10). pp. 74-86. ISSN 1738-7906

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Melanoma is the most widely occurring and life threatening form of skin cancer. Early detection of in situ melanoma has challenged researchers for many decades now. Currently there exists no computer aided mechanisms to accurately detect early melanoma. T he currently existing computer aided diagnostics mechanisms are capable of melanoma classification and are unable to detect in situ melanoma. This paper introduces a Multi Parameter Extraction and Classification System ( 푀푀푀푀푀 ) to aid early detection o f skin cancer melanoma. The 푀푀푀푀푀 defines the skin lesion images in terms of characteristic parameters which are further used for classification. In this paper the extraction of 21 parameters is achieved using a six phase approach. The parameters extr acted are analyzed using statistical methods. It is clear from the results obtained that no single parameter can affirm the detection of in situ melanoma, hence an advanced analysis mechanisms considering all the parameters need to be adopted to effective ly detect melanoma in its initial stages.

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IITH Creators:
IITH CreatorsORCiD
Khan, Mohammed Zafar AliUNSPECIFIED
Item Type: Article
Uncontrolled Keywords: Skin Cancer, Melanoma, Early Detection, In Situ Melanoma, MPECS, Multi Parameter Extraction, Classification, Computer Aided Diagnostics, Image Processing, Skin Lesions, Feature Extraction
Subjects: Others > Electricity
Others > Engineering technology
Others > Medicine
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 09 Sep 2015 06:38
Last Modified: 26 Sep 2017 04:47
Publisher URL:
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