Thesis Abstract

Abstract
Skin cancer is one of the most common types of cancer globally, with early detection and monitoring playing a crucial role in successful treatment outcomes. The development of a mobile application for skin cancer detection and monitoring presents a promising solution to improve access to skin health information and facilitate timely interventions. This thesis focuses on the design, development, and evaluation of a mobile application aimed at assisting users in self-assessment, tracking changes in moles or skin lesions, and providing educational resources on skin cancer prevention. Chapter 1 provides an introduction to the research topic, outlining the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The literature review in Chapter 2 explores existing technologies, methodologies, and studies related to skin cancer detection, mobile health applications, and user interface design principles. Chapter 3 details the research methodology, including the development process of the mobile application, user testing procedures, data collection methods, and evaluation criteria. The discussion of findings in Chapter 4 analyzes the usability, accuracy, and user satisfaction of the mobile application, highlighting its potential impact on skin cancer detection and monitoring practices. The conclusion in Chapter 5 summarizes the key findings, implications for future research, and recommendations for the implementation and improvement of the mobile application. Overall, this thesis contributes to the burgeoning field of mobile health technologies by proposing an innovative tool for skin cancer detection and monitoring that has the potential to empower individuals in managing their skin health effectively.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the critical need for efficient and accessible tools in dermatology for early detection and monitoring of skin cancer. Skin cancer is a prevalent and potentially life-threatening condition that requires timely diagnosis and treatment. Traditional methods of skin cancer detection often involve manual examination by dermatologists, which can be time-consuming and may not always be readily available to all individuals. Moreover, monitoring skin changes over time for early detection of abnormalities can be challenging for patients. To bridge this gap, the project proposes the development of a mobile application that leverages the power of technology to facilitate skin cancer detection and monitoring. The mobile application will utilize advanced image processing algorithms to analyze images of skin lesions captured by users using their smartphone cameras. By employing machine learning and artificial intelligence techniques, the application will be able to assess the characteristics of skin lesions and provide users with real-time feedback on the likelihood of the lesion being cancerous. Furthermore, the mobile application will allow users to track changes in their skin lesions over time by enabling them to store and compare images taken at different intervals. This feature will empower users to proactively monitor their skin health and seek medical attention promptly if any concerning changes are detected. Additionally, the application will provide educational resources on skin cancer prevention, risk factors, and self-examination techniques to promote awareness and early intervention. Overall, the project represents a significant advancement in the field of dermatology by harnessing the capabilities of mobile technology to improve skin cancer detection and monitoring. By providing a user-friendly and accessible platform for individuals to assess their skin health, the mobile application has the potential to enhance early diagnosis, increase survival rates, and ultimately contribute to reducing the burden of skin cancer on public health.