Development of a Mobile Application for Skin Cancer Detection and Self-Assessment

Thesis Abstract

The abstract for the thesis on "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" is as follows Skin cancer is a significant public health concern globally, with early detection being crucial for successful treatment outcomes. This thesis focuses on the development of a mobile application aimed at empowering individuals to perform self-assessment for the early detection of skin cancer. The mobile application integrates advanced image processing algorithms and machine learning techniques to analyze images of skin lesions captured by users, providing risk assessment and recommendations for further medical evaluation. The thesis begins with an introduction that highlights the importance of early detection in skin cancer management. The background of the study provides an overview of existing technologies and research in the field of skin cancer detection and mobile health applications. The problem statement identifies the gaps in current approaches to skin cancer detection and the need for a user-friendly, accessible solution. The objectives of the study outline the specific goals and outcomes of developing the mobile application. Limitations of the study are acknowledged, including challenges related to image quality, user adherence, and accuracy of machine learning algorithms. The scope of the study defines the target user population, features of the mobile application, and the methodology employed in development and evaluation. The significance of the study lies in its potential to enhance early detection rates, reduce healthcare costs, and improve patient outcomes through timely intervention. The structure of the thesis is presented, outlining the organization of chapters and key sections. Chapter two provides a comprehensive literature review covering ten key aspects of skin cancer detection, mobile health applications, image processing techniques, and machine learning algorithms. Chapter three details the research methodology, including data collection, algorithm development, user interface design, and evaluation metrics. The discussion of findings in chapter four examines the performance of the mobile application, user feedback, and implications for future research and implementation. In conclusion, the thesis summarizes the key findings, contributions, and implications of developing a mobile application for skin cancer detection and self-assessment. The potential impact on public health, healthcare accessibility, and patient empowerment are emphasized. Recommendations for further research and application deployment are provided, highlighting the importance of interdisciplinary collaboration and user-centered design in advancing digital health solutions for skin cancer detection.