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

摘要

Melanoma is the most widely occurring and life threatening form udof skin cancer. Early detection of in situ melanoma has udchallenged researchers for many decades now. Currently there udexists no computer aided mechanisms to accurately detect early udmelanoma. Tudhe currently existing computer aided diagnostics udmechanisms are capable of melanoma classification and are udunable to detect in situ melanoma. This paper introduces a Multi udParameter Extraction and Classification System (ud푀푀푀푀푀ud) to aid udearly detection oudf skin cancer melanoma. The ud푀푀푀푀푀uddefines udthe skin lesion images in terms of characteristic parameters udwhich are further used for classification. In this paper the udextraction of 21 parameters is achieved using a six phase udapproach. The parameters extrudacted are analyzed using statistical udmethods. It is clear from the results obtained that no single udparameter can affirm the detection of in situ melanoma, hence udan advanced analysis mechanisms considering all the parameters udneed to be adopted to effectiveudly detect melanoma in its initial udstages.