Thesis Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening condition that requires early detection and monitoring for effective treatment. In recent years, advancements in technology have paved the way for innovative solutions in healthcare, including the development of mobile applications for skin cancer detection and monitoring. This thesis focuses on the design and implementation of a mobile application aimed at assisting users in the early detection and continuous monitoring of skin cancer. The introduction provides an overview of the increasing incidence of skin cancer globally and the challenges associated with early detection. The background of the study delves into the existing methods of skin cancer detection and monitoring, highlighting the limitations and the need for a more accessible and user-friendly approach. The problem statement emphasizes the urgency of improving early detection rates to enhance treatment outcomes and reduce mortality rates associated with skin cancer. The objectives of the study include developing a user-friendly mobile application that utilizes image recognition technology to analyze skin lesions for signs of skin cancer. The limitations of the study are also discussed, including potential challenges in image accuracy and user compliance. The scope of the study outlines the target users, features of the mobile application, and the expected outcomes. The significance of the study lies in its potential to revolutionize skin cancer detection and monitoring by providing a convenient and cost-effective solution accessible to a wide range of users. The structure of the thesis is presented, detailing the chapters and their respective contents, to provide a roadmap for the reader. Furthermore, key terms related to skin cancer detection and mobile applications are defined to ensure clarity and understanding throughout the thesis. Chapter Two comprises a comprehensive literature review covering ten key aspects related to skin cancer detection, mobile applications in healthcare, and image recognition technology. Chapter Three outlines the research methodology, including the design and development process of the mobile application, data collection methods, and evaluation criteria. It also discusses ethical considerations and potential biases in the study. Chapter Four presents a detailed discussion of the findings, including the usability of the mobile application, accuracy of skin lesion analysis, user feedback, and potential improvements. The conclusions drawn from the study highlight the effectiveness of the mobile application in facilitating early detection and monitoring of skin cancer, as well as its potential impact on healthcare outcomes. In conclusion, this thesis contributes to the field of dermatology by proposing an innovative solution for skin cancer detection and monitoring through the development of a mobile application. The abstracted project underscores the importance of early detection in improving treatment outcomes and emphasizes the role of technology in enhancing healthcare accessibility and efficiency.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the growing concern surrounding skin cancer detection and monitoring. Skin cancer is a prevalent and potentially life-threatening condition that requires early detection for effective treatment. The proposed mobile application seeks to leverage technology to provide users with a convenient and accessible tool for monitoring their skin health. This research project will involve the design and development of a mobile application that utilizes image recognition technology to analyze skin lesions and provide users with real-time feedback on potential risks. By incorporating machine learning algorithms, the application will be trained to identify various types of skin cancer based on visual cues and other relevant data points. Users will be able to capture images of their skin lesions using their smartphone cameras and receive instant feedback on the likelihood of the lesion being cancerous. The mobile application will also include features for tracking changes in skin lesions over time, allowing users to monitor their skin health and seek medical attention if necessary. Additionally, the app will provide users with educational resources on skin cancer prevention, early detection, and treatment options. Overall, the "Development of a Mobile Application for Skin Cancer Detection and Monitoring" project represents an innovative approach to enhancing skin cancer awareness and facilitating early detection. By leveraging mobile technology and artificial intelligence, this research aims to empower individuals to take control of their skin health and potentially save lives through timely intervention.