Thesis Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening disease that requires early detection for effective treatment. The advancement of artificial intelligence (AI) technologies presents new opportunities for improving the accuracy and efficiency of skin cancer diagnosis. This thesis focuses on the development of an AI-based diagnostic tool for skin cancer detection, aiming to enhance the current methods of diagnosis and reduce the burden on healthcare professionals. The research begins with a comprehensive review of the existing literature on skin cancer diagnosis, highlighting the limitations of current diagnostic techniques and the potential benefits of AI integration. The literature review also explores the different types of skin cancer, their characteristics, and the challenges associated with their early detection. The methodology section outlines the approach taken to develop the AI-based diagnostic tool, including data collection, preprocessing, feature selection, and model training. The research methodology also discusses the evaluation metrics used to assess the performance of the AI tool and compare it with existing diagnostic methods. The findings of the study are presented in detail in the discussion section, highlighting the performance of the AI-based diagnostic tool in detecting different types of skin cancer. The results demonstrate the potential of AI to improve the accuracy and efficiency of skin cancer diagnosis, thereby enabling early detection and timely intervention. In conclusion, this thesis contributes to the field of dermatology by proposing an innovative approach to skin cancer diagnosis using AI technology. The developed diagnostic tool shows promising results in terms of accuracy and efficiency, offering a valuable resource for healthcare professionals in the early detection of skin cancer. The study also discusses the implications of integrating AI into clinical practice and highlights the importance of further research to enhance the capabilities of AI-based diagnostic tools for skin cancer detection. Overall, the development of an AI-based diagnostic tool for skin cancer detection represents a significant advancement in the field of dermatology, with the potential to improve patient outcomes and reduce the burden on healthcare systems. Further research and validation studies are recommended to validate the efficacy of the AI tool in real-world clinical settings and optimize its performance for widespread adoption.

Thesis Overview