HEALTH DATA ANALYSIS FOR CANCER PREDICTION BY OPTIMIZING FEATURES & DEEP LEARNING MODEL

Abstract

Skin cancer is a severe form of cancer that, if left untreated, can lead to fatal consequences. Detecting it at an early stage enables more effective treatment and helps stop the disease from advancing. This paper has proposed a model that classify the health data image of skin cancer. Input image was optimized by the artificial immune optimization algorithm. Optimized image was used for the feature extraction. Extracted features were used for the training of mathematical model. Experiment was done on real dataset images of skin cancer. Result shows that proposed HIDADL (Health Image Data Analysis using Deep Learning) model has increases the correct class detection accuracy.