A Precise Model For Skin Cancer Diagnosis Using Hybrid U-net And Improved Mobilenet-v3 With Hyperparameters Optimization

This article discusses an innovative approach for accurately identifying skin cancer using Convolution Neural Network architecture and optimizing hyperparameters. The proposed model utilizes advanced deep-learning methodologies to extract complex features and patterns from skin cancer images, and incorporates optimization techniques to improve accuracy.