Skin Cancer Detection Using Tensorflow Framework

This abstract outlinestypically, the biopsy method is used to diagnose skin cancer, in which a tissue sample from the patient is obtained, examined for two to three days, and evaluated using a variety of chemical reagents. The biopsy procedure takes a long time, and the patient can reach a new stage as a result. The approaches used to diagnose skin cancer at an early stage include computer image analysis algorithms. A convolutional neural network is a deep neural network with multilayer analysis, which aids in assessing the cells using multiple features. This method offers a 74% accuracy rate in categorizing the photos. With the help of the CNN model, this project intends to construct a skin cancer detection system that can distinguish between cancerous and non-cancerous lesions in photographs.