Novel Skin Disease Prediction Using Computer Vision Algorithms

Skin disease detection is essential in healthcare, and traditional diagnosis by dermatologists is time-consuming and subjective. Computer vision algorithms have been developed to automate skin disease detection using skin lesion images, but variations in skin tone, lighting, and lesion appearance make it challenging. A deep learning-based approach that combines CNNs and advanced computer vision algorithms is proposed and trained on a large dataset of skin lesion images. This approach can revolutionize skin disease diagnosis and treatment, leading to earlier treatment, improved patient outcomes and reduced healthcare costs.