Thesis Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening condition that requires early detection for effective treatment. The development of a mobile application for skin cancer detection and self-examination aims to provide users with a convenient tool to monitor their skin health and detect potential signs of skin cancer at an early stage. This thesis presents a detailed study on the design, development, and evaluation of the mobile application, focusing on its usability, accuracy, and impact on skin cancer awareness and prevention. The introduction chapter provides an overview of the research topic, highlighting the importance of early detection in skin cancer management. The background of the study discusses the current landscape of skin cancer diagnosis and the limitations of existing methods. The problem statement identifies the need for a user-friendly and accessible tool for skin self-examination, leading to the objective of the study to develop a mobile application that can assist users in identifying suspicious skin lesions. The literature review chapter presents a comprehensive analysis of existing research and technologies related to skin cancer detection and mobile health applications. The review covers topics such as artificial intelligence in dermatology, smartphone-based skin cancer diagnosis tools, and the role of mobile apps in promoting skin cancer awareness. The research methodology chapter outlines the process of developing and evaluating the mobile application, including the selection of features, user interface design, data collection methods, and usability testing procedures. The chapter also discusses ethical considerations and potential challenges in implementing the research study. The discussion of findings chapter presents the results of usability tests, accuracy assessments, and user feedback on the mobile application. The chapter analyzes the strengths and limitations of the app, highlights areas for improvement, and discusses the implications of the findings for future research and development in the field of mobile health technology. In conclusion, the thesis summarizes the key findings of the study and emphasizes the importance of early detection and self-examination in skin cancer prevention. The mobile application developed in this research project shows promise as a valuable tool for promoting skin health awareness and empowering users to take proactive steps in monitoring their skin for signs of skin cancer. Overall, this thesis contributes to the growing body of research on mobile health applications for skin cancer detection and highlights the potential of technology to enhance early diagnosis and treatment outcomes in dermatology.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Self-Examination" aims to address the growing need for accessible and user-friendly tools for early detection of skin cancer. Skin cancer is a significant public health concern worldwide, with increasing incidence rates leading to higher mortality rates if not detected and treated early. This research project focuses on leveraging mobile technology to empower individuals to perform self-examinations and receive timely feedback on potential skin abnormalities. The mobile application will be designed to provide users with a simple and intuitive interface for capturing images of their skin lesions, moles, or other suspicious areas. The app will utilize image analysis algorithms to automatically assess the images for signs of skin cancer, such as asymmetry, border irregularity, color variation, and diameter changes. Users will receive immediate feedback on the likelihood of skin cancer based on the analysis results, prompting them to seek further evaluation from a healthcare professional if necessary. The research will involve a comprehensive review of existing literature on skin cancer detection methods, mobile health applications, and image analysis algorithms. By synthesizing knowledge from these areas, the project aims to develop a robust and accurate skin cancer detection system within the mobile application. The methodology will include the design and development of the app, testing its functionality and accuracy using a dataset of skin images with known diagnoses, and gathering feedback from users through usability testing. The significance of this research lies in its potential to empower individuals to take proactive steps in monitoring their skin health and seeking medical attention when needed. By providing a convenient and accessible tool for self-examination, the mobile application can contribute to early detection of skin cancer, leading to improved treatment outcomes and reduced mortality rates. Additionally, the project aligns with the broader trend of leveraging technology to enhance healthcare delivery and promote preventive care among the general population. In conclusion, the "Development of a Mobile Application for Skin Cancer Detection and Self-Examination" project represents a promising initiative to harness the power of mobile technology for promoting skin health awareness and early detection of skin cancer. Through a multidisciplinary approach integrating mobile app development, image analysis, and healthcare innovation, this research aims to make a positive impact on public health by empowering individuals to prioritize their skin health and seek timely medical intervention when needed.