Thesis Abstract

Abstract
This thesis presents the development of a mobile application designed for skin cancer detection and self-assessment. With the increasing prevalence of skin cancer worldwide, early detection and regular monitoring of skin lesions are crucial for successful treatment outcomes. The mobile application aims to empower users to perform self-assessment of their skin lesions conveniently and accurately, thus enabling early detection of potential skin cancer signs. The research begins with a comprehensive exploration of existing literature on skin cancer, mobile health applications, and image processing techniques related to skin lesion analysis. Through a thorough review of relevant studies, the background information establishes the context for the development of the mobile application. The identified problem statement highlights the limitations in current skin cancer detection methods and emphasizes the need for accessible and user-friendly tools for self-assessment. The objectives of the study include designing a user-friendly interface for the mobile application, implementing image processing algorithms for skin lesion analysis, and evaluating the accuracy and usability of the application. Methodologically, the research employs a combination of software development methodologies, image processing techniques, and usability testing protocols. The research methodology chapter details the steps involved in designing and developing the mobile application, including data collection, algorithm implementation, and user testing procedures. The findings chapter presents a detailed analysis of the performance of the mobile application in detecting and analyzing skin lesions. The discussion encompasses the accuracy of the image processing algorithms, user feedback on the application interface, and the overall usability of the tool for self-assessment purposes. In conclusion, the research demonstrates the successful development of a mobile application for skin cancer detection and self-assessment. The application shows promising results in terms of accuracy, usability, and user satisfaction. The significance of this study lies in its potential to enhance early detection of skin cancer, promote self-monitoring behaviors, and improve access to healthcare services for individuals at risk of skin cancer. In summary, the "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" thesis contributes to the field of dermatology by introducing a novel tool that empowers users to take control of their skin health through regular self-assessment. The research findings underscore the importance of technology in advancing preventive healthcare measures and improving health outcomes in the context of skin cancer management.

Thesis Overview