Thesis Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening disease that affects millions of individuals worldwide. Early detection and monitoring of skin lesions are crucial in improving treatment outcomes and reducing mortality rates associated with skin cancer. In response to this critical need, this thesis presents the development of a mobile application aimed at facilitating skin cancer detection and monitoring. The study begins with a comprehensive review of existing literature on skin cancer, mobile health applications, and image processing techniques relevant to dermatology. This literature review highlights the gaps in current approaches to skin cancer detection and the potential benefits of leveraging mobile technology in this field. The research methodology section outlines the process of developing the mobile application, including data collection, image processing algorithms, user interface design, and testing procedures. The methodology incorporates feedback from dermatologists and end-users to ensure the effectiveness and usability of the application. The findings section presents the results of testing the mobile application on a sample of skin lesion images. The application demonstrates high accuracy in detecting and classifying skin lesions, with a user-friendly interface that allows for easy lesion monitoring and tracking over time. The discussion delves into the implications of the study findings, including the potential impact of the mobile application on skin cancer diagnosis and treatment outcomes. The study concludes with a summary of key findings and recommendations for future research and development in the field of mobile dermatology applications. Overall, the development of a mobile application for skin cancer detection and monitoring holds great promise in improving access to dermatological care, empowering users to take control of their skin health, and ultimately saving lives through early detection and intervention.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the growing problem of skin cancer by leveraging mobile technology to improve early detection and monitoring of skin cancer. Skin cancer is one of the most common types of cancer globally, with increasing incidence rates. Early detection is crucial for successful treatment outcomes, yet many cases are diagnosed at later stages, leading to higher mortality rates. The research project will focus on developing a user-friendly and efficient mobile application that enables individuals to self-assess their skin health, detect potential signs of skin cancer, and monitor changes in moles or lesions over time. The mobile application will utilize advanced image recognition technology to analyze photos of skin lesions and provide instant feedback on the likelihood of cancerous growth. Key objectives of the project include designing a intuitive user interface that allows for easy navigation and input of relevant information, integrating machine learning algorithms for accurate skin cancer detection, and implementing secure data storage to protect user privacy. Additionally, the mobile application will incorporate educational resources on skin cancer prevention, risk factors, and self-examination techniques to empower users to take proactive steps towards skin health. The research methodology will involve a combination of literature review, software development, user testing, and data analysis. By conducting a thorough literature review on existing skin cancer detection technologies and mobile applications, the project aims to build upon current knowledge and identify gaps for innovation. The software development phase will involve collaboration with software engineers and medical professionals to ensure the application meets industry standards and medical guidelines. User testing will be conducted to gather feedback on the usability, accuracy, and effectiveness of the mobile application. Data analysis will be performed to evaluate the performance of the image recognition algorithms, assess user engagement metrics, and identify areas for improvement. Overall, the project holds significant potential to revolutionize skin cancer detection and monitoring by providing accessible, affordable, and convenient tools for individuals to proactively manage their skin health. The development of a mobile application for skin cancer detection and monitoring has the opportunity to save lives, improve public health outcomes, and empower individuals to take control of their well-being.