Development of a Mobile Application for Skin Cancer Detection and Monitoring

Thesis Abstract

Abstract
Skin cancer is a significant public health concern globally, with early detection playing a crucial role in successful treatment outcomes. This thesis presents the development of a mobile application aimed at enhancing skin cancer detection and monitoring processes. The research focuses on leveraging technology to improve accessibility, accuracy, and efficiency in identifying potential skin cancer lesions. The mobile application integrates innovative features such as artificial intelligence algorithms and image recognition technology to assist users in self-assessment and monitoring of skin lesions over time. The introduction provides an overview of the rising incidence of skin cancer worldwide and the challenges associated with early detection. The background of the study discusses the existing methods of skin cancer detection and highlights the limitations and shortcomings that necessitate the development of a more advanced solution. The problem statement identifies the gaps in current skin cancer detection practices and emphasizes the need for a user-friendly and accessible tool for early detection and monitoring. The objectives of the study are outlined to guide the development process of the mobile application, including enhancing accuracy in lesion identification, improving user experience, and promoting regular monitoring practices. The limitations of the study are also acknowledged, such as the reliance on user-provided data and potential variations in device capabilities. The scope of the study defines the target users, features, and functionalities of the mobile application, emphasizing its potential impact on individuals at risk of skin cancer. The significance of the study lies in its contribution to improving early detection rates of skin cancer through the widespread use of a mobile application. The structure of the thesis provides a roadmap for the subsequent chapters, including the literature review, research methodology, discussion of findings, and conclusion. The definitions of key terms used throughout the thesis are also provided to establish a common understanding of relevant concepts. The literature review explores existing research on skin cancer detection methods, mobile health applications, and artificial intelligence in dermatology. It synthesizes key findings to inform the development of the mobile application and identify best practices in skin cancer detection and monitoring. The research methodology details the design process of the mobile application, including data collection, algorithm development, user interface design, and usability testing. The methodology also outlines the evaluation criteria used to assess the effectiveness and accuracy of the mobile application in detecting and monitoring skin lesions. Chapter four presents a comprehensive discussion of the findings, including the performance evaluation of the mobile application, user feedback, and potential areas for improvement. The discussion analyzes the impact of the mobile application on early detection rates and user engagement, highlighting its potential to enhance skin cancer awareness and promote proactive healthcare behaviors. In conclusion, this thesis underscores the importance of technological advancements in improving skin cancer detection and monitoring practices. The mobile application developed in this study has the potential to empower individuals to take control of their skin health and seek timely medical intervention when needed. The summary emphasizes the key findings, contributions, and implications of the research, as well as recommendations for future studies and enhancements to the mobile application.