Thesis Abstract

Abstract
Skin cancer is a significant public health concern worldwide, with early detection being crucial for successful treatment outcomes. In recent years, the use of mobile applications for health monitoring and disease detection has gained momentum due to their accessibility and convenience. This thesis presents the development of a mobile application specifically designed for skin cancer detection and early diagnosis. The aim of this project is to leverage technology to empower individuals to monitor their skin health and detect potential signs of skin cancer at an early stage. The mobile application incorporates advanced image processing algorithms to analyze images of skin lesions captured by users. Through the use of artificial intelligence and machine learning techniques, the application can identify suspicious lesions based on various parameters such as asymmetry, border irregularity, color variation, and diameter. Users can track changes in their skin lesions over time and receive alerts for further evaluation by healthcare professionals. Chapter 1 provides an introduction to the research topic, including the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. Chapter 2 presents a comprehensive literature review covering ten key aspects related to skin cancer detection, mobile health applications, image processing techniques, and machine learning algorithms. Chapter 3 details the research methodology employed in developing the mobile application, including the selection of tools and technologies, data collection methods, algorithm design, and testing procedures. The methodology is described in eight sections to provide a clear understanding of the development process. Chapter 4 discusses the findings of the study, presenting the performance evaluation of the mobile application in detecting skin cancer lesions. The results demonstrate the effectiveness of the application in accurately identifying suspicious lesions and providing timely alerts to users. Finally, Chapter 5 offers a conclusion and summary of the project thesis, highlighting the key findings, contributions, limitations, and future directions for research. The mobile application for skin cancer detection and early diagnosis represents a valuable tool in promoting early intervention and improving outcomes for individuals at risk of skin cancer. In conclusion, the development of a mobile application for skin cancer detection and early diagnosis has the potential to revolutionize skin health monitoring and empower individuals to take proactive steps towards early detection and treatment. This research contributes to the growing field of mobile health technologies and underscores the importance of leveraging technology for improving healthcare outcomes.

Thesis Overview