Thesis Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening disease that requires early detection and timely intervention for successful treatment. With the increasing use of mobile technology, developing a mobile application for skin cancer detection and self-assessment has become a promising approach to empower individuals to monitor their skin health conveniently. This thesis aims to address the need for an innovative solution to facilitate early skin cancer detection and self-assessment through the development of a mobile application. The research begins with a comprehensive introduction that highlights the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The literature review in Chapter Two provides a thorough examination of existing studies, technologies, and applications related to skin cancer detection and self-assessment. This review sets the foundation for understanding the current landscape and identifying gaps that the proposed mobile application will address. Chapter Three details the research methodology, including the design, development process, data collection methods, testing procedures, and evaluation criteria for the mobile application. The methodology emphasizes user-centric design principles, usability testing, and validation to ensure the effectiveness and user-friendliness of the application. In Chapter Four, the findings of the research are presented and discussed in depth. This chapter highlights the features, functionalities, and performance of the developed mobile application for skin cancer detection and self-assessment. The discussion also includes insights on user feedback, challenges encountered during development, and recommendations for future enhancements. Finally, Chapter Five offers a comprehensive conclusion and summary of the project thesis. The conclusion summarizes the key findings, implications, and contributions of the research. It also discusses the potential impact of the mobile application on promoting skin health awareness, enabling early detection of skin cancer, and empowering users to take proactive measures for their well-being. Overall, the thesis on the "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" contributes to the advancement of healthcare technology by providing a user-friendly and accessible tool for individuals to monitor their skin health effectively. This research underscores the importance of leveraging mobile applications to enhance preventive healthcare practices and improve health outcomes in the fight against skin cancer.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" aims to address the growing need for accessible and efficient tools for early detection and self-assessment of skin cancer. Skin cancer is one of the most common types of cancer globally, and early detection is crucial for successful treatment outcomes. However, many individuals may not have easy access to dermatologists or may not be aware of the warning signs of skin cancer. This project seeks to bridge this gap by developing a mobile application that leverages technology to empower users to perform self-assessment for potential skin cancer indicators. The mobile application will utilize image recognition technology to analyze skin lesions and provide users with instant feedback on whether further medical evaluation is needed. By enabling users to track changes in their skin over time, the application aims to facilitate early detection and prompt medical intervention when necessary. The research will begin with a comprehensive literature review to explore the existing technologies and methodologies related to skin cancer detection and mobile health applications. This review will provide a foundation for understanding the current landscape and identifying gaps that the proposed mobile application can address. The methodology section of the research will outline the process of developing the mobile application, including the selection of image recognition algorithms, user interface design, and testing protocols. User feedback and usability testing will be integral components of the development process to ensure that the application is user-friendly and effective in facilitating self-assessment for skin cancer. The discussion of findings section will present the results of testing and evaluation of the mobile application, including its accuracy in detecting potential skin cancer indicators and user satisfaction metrics. Any challenges encountered during the development process and potential areas for future improvement will also be discussed. In conclusion, the project on the "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" holds significant promise in empowering individuals to take control of their skin health and facilitate early detection of skin cancer. By harnessing the power of mobile technology and image recognition, the application has the potential to make a meaningful impact on public health outcomes related to skin cancer.