Development of a Mobile Application for Skin Cancer Detection and Monitoring

Thesis Abstract

Abstract
Skin cancer is a prevalent form of cancer that affects millions of individuals worldwide. Early detection and monitoring of skin cancer are crucial for successful treatment outcomes. This thesis presents the development of a mobile application aimed at assisting users in detecting and monitoring skin cancer. The mobile application utilizes advanced image processing and machine learning algorithms to analyze images of skin lesions and provide users with real-time feedback on the likelihood of skin cancer. Chapter 1 provides an introduction to the research topic, discusses the background of the study, and presents the problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter 2 comprises a comprehensive literature review covering ten key topics related to skin cancer detection, mobile health applications, image processing, and machine learning. Chapter 3 outlines the research methodology employed in the development of the mobile application. This chapter includes detailed descriptions of the data collection process, image processing techniques, machine learning algorithms, app development tools, validation methods, and ethical considerations. The research methodology aims to ensure the accuracy and reliability of the mobile application in detecting and monitoring skin cancer. Chapter 4 presents an in-depth discussion of the findings obtained from the development and testing of the mobile application. The chapter highlights the performance metrics, user feedback, challenges faced during development, and potential areas for future improvement. The discussion emphasizes the importance of user-friendly interfaces, accurate image analysis algorithms, and real-time monitoring capabilities in enhancing the effectiveness of the mobile application. Chapter 5 concludes the thesis by summarizing the key findings, discussing the implications of the research, and providing recommendations for future work. The mobile application for skin cancer detection and monitoring shows promising results in assisting users with early detection and continuous monitoring of skin lesions. The potential impact of the mobile application in improving access to skin cancer screening and reducing healthcare disparities is also discussed. Overall, this thesis contributes to the field of dermatology by introducing an innovative mobile application for skin cancer detection and monitoring. The development of this mobile application has the potential to empower users in taking proactive steps towards skin cancer prevention and early intervention, ultimately leading to improved healthcare outcomes and quality of life.