AI Based Skin Cancer Diagnosis

This study presents an innovative approach to skin cancer detection using Artificial Intelligence and deep learning methodologies. The AI model, trained using Convolutional Neural Networks (CNNs), outperformed human diagnostic abilities in distinguishing between cancerous and healthy skin, achieving an accuracy rate of over 90% in detecting skin cancer. The model also demonstrated proficiency in classifying various types of skin cancers, offering expedited and precise diagnoses. This breakthrough in skin cancer diagnosis has the potential to revolutionize early detection and alleviate strain on healthcare systems, enabling individuals to screen for skin cancer without a doctor's visit. The designed AI-powered deep convolutional neural network system capable of automatically analyzing and classifying skin lesions based on dermoscopic images. By harnessing the power of deep learning and CNNs, it endeavors to achieve heightened accuracy and efficiency in skin cancer detection.