On Feature Image Recognition of Melanoma using Nanotechnology Applications

Melanoma is energy form of skin cancer and has cancer of Nanotechnology has the potential to improve both the diagnosis and treatment of this disease. Combining nanoparticles with the biological and chemical therapies has immense scope and potential. Dermatologists use the ABCD rule to characterize skin lesions. Image analysis including image acquisition, hair detection, the segmentation methods are thresholding, edge-based, region-based on color images with computerized image analysis. It is the total number of pixels in the largest diameter by a millimeter (mm). It has four parameters classification on ANN for the recognition of malignant melanoma. They have been compared with the results classification obtained by ANN. There is implemented in MATLAB used the dataset which that they consider of 100 dermoscopic images from Hospital Kovai Medical. They have been achieved results shows an acceptable effect rates, an accuracy 95.32%, sensitivity 75% and specificity 96.28%.