Thesis Abstract

Abstract
Skin cancer is one of the most common types of cancer worldwide, and early detection is crucial for successful treatment. The advancement of technology has opened up new possibilities for improving skin cancer detection through the development of mobile applications. This thesis focuses on the development of a mobile application for skin cancer detection and self-assessment, aiming to provide users with a convenient and accessible tool to monitor their skin health. Chapter 1 provides an introduction to the research topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The chapter sets the stage for the research by highlighting the importance of early skin cancer detection and the potential of mobile applications in this field. Chapter 2 presents a comprehensive literature review on skin cancer detection methods, existing mobile applications for skin health monitoring, and the role of technology in healthcare. The review covers various aspects such as image processing techniques, machine learning algorithms, user interface design, and user experience considerations in mobile applications. Chapter 3 outlines the research methodology employed in developing the mobile application for skin cancer detection and self-assessment. The methodology includes steps such as data collection, system design, software development, testing, and evaluation. It also discusses ethical considerations and data privacy issues related to the use of health-related mobile applications. Chapter 4 delves into the detailed discussion of the findings from the development and testing of the mobile application. This chapter presents the features of the application, user feedback, performance evaluation results, and comparison with existing skin cancer detection methods. It also explores potential areas for improvement and future research directions. Chapter 5 concludes the thesis by summarizing the key findings, discussing the implications of the research, and suggesting recommendations for future work. The conclusion emphasizes the importance of mobile applications in empowering users to take control of their skin health and encourages further research and development in this area. In conclusion, the "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" thesis contributes to the field of dermatology by introducing a novel approach to skin cancer detection using mobile technology. The thesis highlights the potential of mobile applications in improving access to healthcare services and promoting early detection of skin cancer, ultimately leading to better outcomes for patients.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" aims to address the critical need for accessible and user-friendly tools for early detection and self-assessment of skin cancer. Skin cancer is one of the most common types of cancer globally, and early detection plays a crucial role in successful treatment outcomes. However, many individuals may not have easy access to dermatologists or may not be able to recognize the signs of skin cancer in its early stages. The mobile application being developed will leverage the advancements in technology, particularly in image recognition and artificial intelligence, to empower users to perform self-assessment for potential signs of skin cancer. The application will enable users to capture images of suspicious moles or skin lesions, and the built-in algorithm will analyze these images to provide instant feedback on the likelihood of the presence of skin cancer. The research will begin with a comprehensive review of existing literature on skin cancer detection methods, mobile health applications, and the use of artificial intelligence in healthcare. This review will provide a solid foundation for understanding the current landscape and identifying gaps that the proposed mobile application aims to fill. The methodology chapter will outline the approach taken in the development of the mobile application, including the design process, data collection methods, algorithm development, and user testing protocols. The research will adopt a user-centered design approach to ensure that the application is intuitive, effective, and user-friendly. The findings chapter will present the results of user testing and validation studies conducted to assess the accuracy and usability of the mobile application. The discussion will delve into the implications of the findings, including the potential impact of the application on early skin cancer detection rates, user engagement, and the overall effectiveness of mobile health interventions in dermatology. In conclusion, the project will summarize the key findings, contributions, and limitations of the research. The significance of the mobile application in empowering individuals to take control of their skin health and potentially detect skin cancer at an early stage will be highlighted. The project seeks to bridge the gap between traditional healthcare services and digital health solutions, ultimately contributing to improved outcomes in skin cancer management.