Thesis Abstract

Abstract
Skin cancer is one of the most commonly diagnosed cancers worldwide, with early detection being crucial for successful treatment outcomes. In recent years, advancements in artificial intelligence (AI) have shown promise in improving the accuracy and efficiency of skin cancer detection. This thesis focuses on the development of a skin cancer detection system using AI to aid in the early diagnosis of skin cancer. The research begins with a comprehensive review of existing literature on skin cancer, AI applications in healthcare, and previous studies related to skin cancer detection systems. The literature review highlights the current challenges in skin cancer diagnosis and the potential of AI technology to address these challenges. The methodology section outlines the research approach, including data collection, preprocessing, feature extraction, and the development of the AI-based skin cancer detection system. Various AI techniques such as deep learning algorithms and image processing methods are utilized to analyze dermatoscopic images and distinguish between benign and malignant skin lesions. The findings chapter presents the results of the developed skin cancer detection system, including accuracy rates, sensitivity, specificity, and comparison with existing methods. The discussion section provides a detailed analysis of the results, highlighting the strengths and limitations of the AI system and its potential implications for clinical practice. In conclusion, the study demonstrates the feasibility and effectiveness of using AI for skin cancer detection, showing promising results in terms of accuracy and efficiency. The research contributes to the growing body of literature on AI applications in healthcare and underscores the importance of early detection in improving skin cancer outcomes. Overall, the development of a skin cancer detection system using AI represents a significant advancement in the field of dermatology, with the potential to revolutionize the way skin cancer is diagnosed and managed. This thesis sets the foundation for further research and development of AI-powered tools for skin cancer detection, ultimately leading to improved patient outcomes and enhanced healthcare delivery.

Thesis Overview