Project Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening condition that affects millions of people worldwide. Early detection and monitoring of skin lesions are crucial for successful treatment outcomes. The advancement of technology, particularly in mobile applications, has provided new opportunities for enhancing healthcare services, including skin cancer detection and monitoring. This research project aims to develop a mobile application specifically designed for skin cancer detection and monitoring. The project will begin with an extensive review of existing literature on skin cancer, mobile health applications, and artificial intelligence algorithms commonly used in medical imaging analysis. The literature review will provide a comprehensive understanding of the current state of skin cancer detection methods, the advantages and limitations of existing mobile applications, and the potential benefits of incorporating artificial intelligence into the diagnostic process. The research methodology will involve the development of the mobile application, incorporating machine learning algorithms for image analysis to enable automated skin lesion detection and classification. The application will be designed to allow users to capture images of suspicious skin lesions using their smartphone cameras. The images will then be processed using the machine learning algorithms to provide real-time feedback on the likelihood of the lesion being malignant. The findings from the development and testing of the mobile application will be presented and discussed in detail in Chapter Four. The discussion will include the accuracy and reliability of the application in detecting skin cancer lesions, user feedback and usability testing results, and potential challenges and limitations encountered during the development process. In conclusion, the development of a mobile application for skin cancer detection and monitoring has the potential to revolutionize the field of dermatology by providing a convenient and accessible tool for early detection and monitoring of skin lesions. The integration of machine learning algorithms into the application offers a promising avenue for improving diagnostic accuracy and empowering users to take control of their skin health. This research project contributes to the advancement of digital health technologies and has significant implications for improving skin cancer outcomes and reducing mortality rates associated with this disease.

Project Overview