Thesis Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening disease that affects millions of people worldwide. Early detection and monitoring of skin lesions are crucial for successful treatment outcomes. In recent years, the advancement of mobile technology has opened up new possibilities for improving healthcare services, including dermatology. This thesis focuses on the development of a mobile application specifically designed for skin cancer detection and monitoring. The primary objective of this research is to design and implement a user-friendly mobile application that utilizes image analysis algorithms to assist users in identifying potential skin cancer lesions. Through a comprehensive literature review, the study explores existing technologies and methodologies used in dermatology and mobile health applications. The research methodology involves the development and testing of the mobile application, incorporating machine learning algorithms for accurate lesion classification. Chapter 1 provides an introduction to the project, including the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter 2 presents a detailed literature review encompassing ten key topics related to skin cancer detection, mobile health applications, image analysis algorithms, and machine learning in dermatology. Chapter 3 outlines the research methodology, including the design and development process of the mobile application, data collection, algorithm implementation, and evaluation metrics. Chapter 4 analyzes and discusses the findings obtained from testing the mobile application, assessing its performance in identifying skin cancer lesions accurately. The discussion delves into the challenges faced during development, the effectiveness of the image analysis algorithms, and potential areas for future improvements. Finally, Chapter 5 presents a comprehensive conclusion and summary of the project thesis, highlighting the significance of the mobile application in improving early detection and monitoring of skin cancer. Overall, the development of a mobile application for skin cancer detection and monitoring represents a significant advancement in the field of dermatology and mobile health technology. By leveraging image analysis algorithms and machine learning techniques, this research contributes to enhancing the accessibility and accuracy of skin cancer screening, ultimately leading to better patient outcomes and reducing the burden of this disease on society.

Thesis Overview