Thesis Abstract

Abstract
The incidence of skin cancer continues to rise globally, necessitating the development of innovative tools to aid in early detection and self-monitoring. This thesis presents the design and implementation of a mobile application aimed at enhancing skin cancer detection and self-monitoring practices. The research involved a comprehensive literature review to identify current trends in skin cancer diagnosis and mobile health applications. The methodology encompassed the development of the mobile application, incorporating features such as image analysis algorithms for lesion detection, user-friendly interfaces, and data security mechanisms. The study also involved testing the application with a sample of participants to evaluate its usability, accuracy, and effectiveness in skin cancer detection. The findings revealed that the mobile application exhibited promising results in assisting users with self-monitoring and early detection of suspicious skin lesions. The discussion delves into the implications of integrating such technology into healthcare systems, the challenges encountered during development, and potential future enhancements. In conclusion, the mobile application for skin cancer detection and self-monitoring presents a valuable tool in empowering individuals to take proactive measures in monitoring their skin health. Its potential impact on early diagnosis and improved outcomes in skin cancer management underscores its significance in the field of dermatology and public health.

Thesis Overview