Thesis Abstract

Abstract
Skin cancer remains a significant global health concern, with early detection and monitoring being critical for successful treatment outcomes. The advent of mobile technology offers a promising avenue for enhancing skin cancer detection and monitoring processes. This thesis presents the development of a mobile application specifically designed for skin cancer detection and monitoring. The application incorporates advanced image processing and machine learning algorithms to analyze skin lesions, providing users with real-time feedback on potential risks and changes in their skin conditions. Chapter 1 introduces the research context, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The growing incidence of skin cancer underscores the need for innovative tools to aid in early detection and monitoring, thus justifying the importance of this research endeavor. Chapter 2 comprises a comprehensive literature review that explores existing technologies, methodologies, and studies related to skin cancer detection and monitoring. This chapter provides a theoretical foundation for the development of the mobile application, highlighting key trends, challenges, and opportunities in the field. Chapter 3 details the research methodology employed in developing the mobile application. This chapter covers aspects such as data collection, algorithm design, software development process, testing procedures, and evaluation methods. The methodology section ensures transparency and reproducibility in the research process, facilitating a systematic approach to application development. Chapter 4 presents a detailed discussion of the findings obtained from the implementation and testing of the mobile application. This chapter examines the performance of the application in detecting and monitoring skin lesions, evaluates user feedback, and discusses potential improvements and future research directions. The discussion of findings provides critical insights into the effectiveness and usability of the developed application. Chapter 5 concludes the thesis by summarizing the key findings, implications, and contributions of the research. The conclusion reflects on the significance of the developed mobile application in enhancing skin cancer detection and monitoring practices, emphasizing its potential impact on healthcare delivery and patient outcomes. Recommendations for further research and practical applications are also discussed, highlighting avenues for future development and refinement of the mobile application. In conclusion, the "Development of a Mobile Application for Skin Cancer Detection and Monitoring" thesis represents a significant contribution to the field of dermatology and mobile health technology. The mobile application offers a user-friendly and accessible tool for individuals to monitor their skin health, aiding in early detection of potential skin cancer risks. The research underscores the potential of mobile technology in improving healthcare delivery and empowering individuals to take proactive steps towards skin cancer prevention and early intervention.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the increasing need for innovative solutions in dermatology, particularly in the early detection and monitoring of skin cancer. Skin cancer is a prevalent and potentially fatal condition that requires timely detection and monitoring for effective treatment and management. Traditional methods of skin cancer detection often rely on visual examination by healthcare professionals, which can be subjective and may lead to missed diagnoses or delayed treatment. The proposed mobile application seeks to leverage the advancements in technology, such as artificial intelligence and image recognition, to provide a user-friendly and accessible tool for individuals to monitor their skin health conveniently. By utilizing the camera functionality of smartphones, users can capture high-quality images of their skin lesions and moles, which are then analyzed by the application for signs of skin cancer. The application will provide instant feedback on the likelihood of a lesion being cancerous, prompting users to seek further evaluation from a healthcare provider if necessary. Furthermore, the mobile application will incorporate features for users to track changes in their skin lesions over time, enabling them to monitor any developments and receive alerts for regular skin checks. This proactive approach to skin cancer detection empowers individuals to take charge of their skin health and seek medical attention promptly if any concerning changes are detected. The research will entail the development and testing of the mobile application, including the design of the user interface, the integration of image analysis algorithms, and the implementation of data privacy and security measures. A user study will be conducted to evaluate the usability and effectiveness of the application in real-world settings, gathering feedback from participants to inform further refinements. Overall, the project "Development of a Mobile Application for Skin Cancer Detection and Monitoring" represents a significant advancement in the field of dermatology, offering a convenient and reliable tool for early detection and monitoring of skin cancer. By harnessing the power of mobile technology, this research aims to improve access to skin health resources and empower individuals to prioritize their well-being through proactive skin cancer surveillance.