Aditya Jadhav, Tanvi Rajadhyaksha, Swapnil Shinde, Nirmal Menon and Amroz Siddiqui
Nowadays, there are various highly accurate, com- plex systems which are used for diagnosis of different skin cancers. However, such treatments cause a heavy load on the human body which might lead to negative side effects on the body parts. Since, Early Stage Detection of Skin Cancer is necessary and a basic step, we present a Computer Aided System for detection of Melanoma Skin Cancer using Image Processing and Machine Learning. This process will be carried out without any penetration of radiations through the body. This system is going to be as an early warning tool to avoid the future consequences during further treatments.
Lesion, Melanoma, Benign, MelaFind, Wavelet, Fourier, Clustering, Classification, Pre-processing, Morphological, Contrast Enhancement, Dilation, Erosion, Histogram, Thresh- olding, Binarization, Contour, Random Forest.