Resumen
Skin cancer is one of the most fatal diseases for mankind. The early detection of skin cancer will facilitate its overall treatment and contribute towards lowering the mortalities. This paper presents the deep learning-based algorithm along with pre-processing for the classification of skin cancer images. The image resolution of publicly available HAM10000 data after resizing is low and hence, when we pre-process the data to enhance the image resolution and then subject it to the deep neural network, overall performance metrics namely accuracy, is typically competitive.