Different Techniques for Skin Cancer Detection Using Dermoscopy Images
DOI:
https://doi.org/10.26438/ijcse/v5i12.159163Keywords:
Image Pre-processing, Segmentation, Feature Extraction, Classification, Melanoma Skin CancerAbstract
Now a days, most dangerous form of disease is melanoma. Melanoma is type of skin cancer that develops from melanocytic cells. Due to malignancy feature melanoma skin cancer is also known as malignant melanoma. Melanoma cancers have various stages which will increase the death rate of patients. So early detection and treatment of melanoma implicate higher chances of cure. Traditional methods for detecting skin cancer are painful, invasive and time consuming. Therefore, in order to overcome the above stated issues different techniques used for skin cancer detection. These techniques works on image so there is no physical contact with skin, so this is non-invasive. These techniques use Image Processing tools for the detection of Melanoma Skin Cancer. These techniques first pre-process the skin image which is followed by image segmentation. Feature extraction is performed on segmented lesion. The extracted features are used to classify the image as normal skin and melanoma cancer lesion.
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