Thesis Abstract

Abstract
Skin cancer is one of the most common types of cancer worldwide, with early detection and monitoring being crucial for successful treatment and improved patient outcomes. This thesis presents the development of a mobile application designed to assist in the detection and monitoring of skin cancer. The application utilizes advanced image processing algorithms and machine learning techniques to analyze images of skin lesions and provide users with real-time feedback on the likelihood of cancer presence. Chapter One provides an introduction to the research topic, including the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two presents a comprehensive literature review covering ten essential areas related to skin cancer detection, mobile applications in healthcare, image processing, and machine learning algorithms. Chapter Three outlines the research methodology employed in the development of the mobile application, including data collection methods, image processing techniques, machine learning model training, and evaluation metrics. The chapter also discusses the ethical considerations and limitations of the study. In Chapter Four, the findings of the study are discussed in detail, including the performance evaluation of the developed mobile application in detecting and monitoring skin cancer. The chapter also explores the challenges faced during the development process and potential areas for future research and improvement. Finally, Chapter Five concludes the thesis by summarizing the key findings and contributions of the research. The implications of the developed mobile application for skin cancer detection and monitoring are discussed, along with recommendations for further research and practical implementation. Overall, this thesis provides valuable insights into the use of mobile technology in healthcare and the potential benefits of early skin cancer detection through innovative mobile applications.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the critical need for early detection and monitoring of skin cancer using modern technological advancements. Skin cancer is one of the most common types of cancer globally, with increasing incidence rates. Early detection plays a crucial role in successful treatment outcomes, making it imperative to develop innovative solutions that can facilitate timely diagnosis and monitoring. The proposed mobile application will leverage cutting-edge technologies such as artificial intelligence and machine learning to enable users to assess their skin lesions for potential signs of skin cancer. By utilizing image recognition algorithms and data analysis techniques, the application will provide users with real-time feedback on the likelihood of malignancy, empowering them to take proactive measures in seeking medical attention if necessary. Furthermore, the mobile application will incorporate features for users to track changes in their skin lesions over time, facilitating continuous monitoring and enabling early detection of any suspicious developments. This proactive approach to skin cancer detection and monitoring can significantly improve outcomes by enabling timely intervention and treatment. The research will involve the design and development of the mobile application, incorporating user-friendly interfaces and intuitive functionalities to ensure ease of use for a wide range of individuals. Extensive testing and validation procedures will be conducted to assess the accuracy and reliability of the application in detecting skin cancer accurately. Overall, the project seeks to bridge the gap between traditional methods of skin cancer detection and modern technological advancements by providing a user-friendly and accessible tool for early detection and monitoring. The proposed mobile application has the potential to revolutionize the field of dermatology by empowering individuals to take control of their skin health and seek timely medical attention when needed.