Thesis Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening condition that affects millions of individuals worldwide. Early detection and monitoring of skin lesions are crucial for effective treatment and improved patient outcomes. In response to this need, this thesis presents the development of a mobile application for skin cancer detection and monitoring. The mobile application leverages advanced technologies, such as artificial intelligence and image processing, to analyze images of skin lesions and provide users with real-time feedback on the likelihood of cancerous growth. The project begins with a comprehensive introduction to the significance of skin cancer detection and monitoring, highlighting the current challenges in the field. A thorough literature review is conducted to explore existing approaches to skin cancer detection, emphasizing the limitations and opportunities for improvement. The research methodology section outlines the design and implementation of the mobile application, including data collection, image processing algorithms, and model training. The findings of the study are discussed in detail in Chapter Four, where the performance of the mobile application in detecting and monitoring skin cancer lesions is evaluated. The results demonstrate the effectiveness and potential impact of the developed mobile application in assisting users in early detection and monitoring of skin cancer. In conclusion, this thesis contributes to the advancement of skin cancer detection and monitoring through the development of a mobile application that integrates cutting-edge technologies. The mobile application has the potential to enhance accessibility to skin cancer screening tools, empower individuals to take proactive steps in managing their skin health, and ultimately improve the early detection rates of skin cancer. The findings of this study underscore the importance of leveraging technology to address critical healthcare challenges and pave the way for future research and innovation in the field of dermatology.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the critical need for accessible and user-friendly tools to aid in the early detection and monitoring of skin cancer. Skin cancer is a prevalent and potentially life-threatening condition that can be effectively treated if detected early. However, many individuals may not have easy access to dermatologists or may not be aware of the warning signs of skin cancer. The mobile application being developed will leverage the power of smartphone technology to provide users with a convenient platform for self-assessment and monitoring of their skin health. Through features such as image recognition technology, users will be able to capture and analyze images of suspicious moles or lesions, receiving instant feedback on the likelihood of them being cancerous. The application will also include educational resources on skin cancer prevention, self-examination techniques, and risk factors. By empowering users to take an active role in monitoring their skin health, the mobile application has the potential to improve early detection rates of skin cancer and ultimately save lives. Additionally, the data collected through the application can be anonymized and aggregated to contribute to broader research efforts on skin cancer epidemiology and risk factors. Overall, the "Development of a Mobile Application for Skin Cancer Detection and Monitoring" project represents an innovative approach to utilizing technology for the early detection and management of skin cancer, with the ultimate goal of improving outcomes for individuals at risk of this prevalent disease.