Thesis Abstract

Abstract
Skin cancer is a significant public health concern, with early detection being crucial for successful treatment outcomes. This research project focuses on the development of a mobile application aimed at enhancing the early detection and monitoring of skin cancer. The mobile application utilizes advanced image processing algorithms to analyze images of skin lesions and provide users with an instant assessment of the likelihood of skin cancer. The thesis begins with an introduction that highlights the importance of early detection in skin cancer management and provides the background information necessary to understand the research project. The problem statement identifies the gaps in existing skin cancer detection methods and underscores the need for a more efficient and accessible solution. The objectives of the study are outlined, focusing on the development of a user-friendly mobile application that can assist individuals in monitoring changes in their skin lesions over time. The limitations and scope of the study are discussed to provide a clear understanding of the boundaries and constraints of the research. The significance of the study is highlighted, emphasizing the potential impact of the mobile application in improving early detection rates and empowering individuals to take proactive steps in managing their skin health. The structure of the thesis is outlined to guide the reader through the subsequent chapters, which include a comprehensive literature review, research methodology, discussion of findings, and conclusion. The literature review delves into existing research on skin cancer detection methods, mobile health applications, and image processing techniques. Through a critical analysis of the literature, the thesis identifies key trends and gaps that inform the development of the mobile application. The research methodology section details the design, implementation, and evaluation of the mobile application, outlining the steps taken to ensure its accuracy and usability. The discussion of findings presents the results of testing the mobile application and evaluates its performance in detecting and monitoring skin lesions. The findings are analyzed in relation to the research objectives, highlighting the strengths and limitations of the mobile application. The conclusion summarizes the key findings of the research, reiterates its significance, and offers recommendations for future research and practical applications. Overall, this thesis contributes to the field of dermatology by presenting a novel approach to skin cancer detection and monitoring through the development of a user-friendly mobile application. The research findings underscore the potential of technology to enhance early detection efforts and empower individuals to take proactive control of their skin health.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the critical need for effective and accessible tools in the field of dermatology, specifically in the detection and monitoring of skin cancer. Skin cancer is a prevalent and potentially life-threatening condition that requires early detection for successful treatment outcomes. With the increasing use of mobile technology in healthcare, the development of a mobile application tailored for skin cancer detection and monitoring can significantly improve early diagnosis and patient outcomes. This research project will focus on designing and implementing a user-friendly mobile application that utilizes advanced image processing and machine learning algorithms to analyze skin lesions and detect potential signs of skin cancer. The application will allow users to capture high-quality images of their skin lesions using their smartphone cameras and receive immediate feedback on the likelihood of the lesion being cancerous. Additionally, the application will provide users with features for tracking changes in their skin lesions over time, enabling continuous monitoring and early detection of any concerning developments. The research will involve a comprehensive literature review to explore existing technologies and methodologies in the field of dermatology, particularly in the area of skin cancer detection and monitoring. By analyzing current research and advancements in the field, the project aims to identify best practices and relevant technologies that can be incorporated into the development of the mobile application. The project will also involve the design and implementation of the mobile application, including the development of the user interface, image processing algorithms, machine learning models, and data storage functionalities. The application will be rigorously tested and validated using a dataset of skin lesion images to assess its accuracy, reliability, and user-friendliness. In conclusion, the "Development of a Mobile Application for Skin Cancer Detection and Monitoring" project holds significant promise in revolutionizing the field of dermatology by providing a convenient and effective tool for early detection and monitoring of skin cancer. By leveraging mobile technology and innovative algorithms, the application has the potential to improve access to dermatological care, empower individuals to take proactive steps in monitoring their skin health, and ultimately contribute to saving lives through early detection and intervention.