Thesis Abstract

Abstract
Skin cancer is a prevalent and potentially fatal disease that affects millions of people worldwide. Early detection of skin cancer is crucial for successful treatment and improved patient outcomes. In recent years, the integration of artificial intelligence (AI) technologies in healthcare has shown great promise in enhancing diagnostic accuracy and efficiency. This thesis explores the application of AI for the early detection of skin cancer, aiming to develop a system that can assist dermatologists in diagnosing skin lesions accurately and efficiently. The research begins with a comprehensive review of existing literature on skin cancer, artificial intelligence, and their intersection in dermatology. The literature review highlights the current challenges in skin cancer diagnosis, the potential benefits of AI in healthcare, and the existing AI algorithms used for skin lesion classification. The methodology section outlines the research design, data collection process, and the development of the AI model for skin cancer detection. The study utilizes a large dataset of skin lesion images for training and testing the AI model. Various AI techniques, including deep learning algorithms such as convolutional neural networks (CNNs), are employed to analyze and classify skin lesions based on their visual characteristics. The findings of the study demonstrate the effectiveness of the AI model in accurately identifying different types of skin lesions associated with skin cancer. The model shows high sensitivity and specificity in distinguishing between benign and malignant lesions, outperforming human dermatologists in certain cases. The discussion delves into the implications of these findings for clinical practice, highlighting the potential of AI as a valuable tool for dermatologists in improving diagnostic accuracy and reducing diagnostic errors. In conclusion, this thesis contributes to the growing body of research on the application of AI in dermatology and skin cancer diagnosis. By leveraging AI technologies for early detection of skin cancer, healthcare providers can enhance patient care, streamline diagnostic processes, and ultimately save lives. The study underscores the importance of further research and development in this area to harness the full potential of AI for improving healthcare outcomes in dermatology.

Thesis Overview