Thesis Abstract

Abstract
Skin cancer is a significant health concern globally, with early detection playing a crucial role in successful treatment outcomes. This thesis presents the development of a mobile application aimed at enhancing skin cancer detection and monitoring. The mobile application utilizes image processing algorithms to analyze skin lesions and provide users with real-time feedback on potential risks of skin cancer. This study explores the background of skin cancer, the limitations of current detection methods, and the need for innovative solutions in this area. The objectives of the study include designing and implementing a user-friendly mobile application that can accurately assess skin lesions for signs of cancer. The methodology involved in the development of the mobile application is discussed in detail, including the selection of image processing techniques, data collection methods, and user interface design. The findings of the study demonstrate the effectiveness of the mobile application in accurately identifying suspicious skin lesions and providing users with valuable information for early intervention. The discussion section delves into the implications of the research findings, highlighting the potential impact of the mobile application on skin cancer detection practices. The conclusion emphasizes the significance of technological advancements in healthcare and the role of mobile applications in improving access to healthcare services. Overall, this thesis contributes to the field of dermatology by presenting an innovative tool for skin cancer detection and monitoring that has the potential to enhance early diagnosis and improve patient outcomes.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the critical need for innovative technology in the field of dermatology, specifically focusing on skin cancer detection and monitoring. Skin cancer is one of the most common forms of cancer worldwide, and early detection plays a crucial role in successful treatment outcomes. The traditional methods of skin cancer detection rely heavily on manual examination by dermatologists, which can be time-consuming and may lead to delays in diagnosis. The proposed mobile application seeks to revolutionize the process of skin cancer detection by leveraging the power of technology and artificial intelligence. By utilizing advanced image processing algorithms and machine learning techniques, the application will be able to analyze photographs of skin lesions taken by users and provide instant feedback on the likelihood of the lesion being cancerous. This real-time analysis will enable users to quickly assess their risk of skin cancer and seek medical attention promptly if necessary. Moreover, the mobile application will also incorporate features for monitoring skin lesions over time. Users will be able to capture regular photographs of their skin lesions and track any changes in size, shape, or color. The application will provide alerts for any suspicious changes and prompt users to consult with a healthcare professional for further evaluation. This proactive approach to monitoring skin lesions aims to facilitate early detection of skin cancer and improve overall patient outcomes. In addition to its primary focus on skin cancer detection and monitoring, the mobile application will also offer educational resources on skin cancer prevention, risk factors, and treatment options. By empowering users with knowledge about skin cancer, the application aims to raise awareness and promote proactive health behaviors. Overall, the project "Development of a Mobile Application for Skin Cancer Detection and Monitoring" represents a significant advancement in the field of dermatology and has the potential to make a positive impact on public health. By harnessing the capabilities of mobile technology and artificial intelligence, the application aims to enhance the early detection of skin cancer, improve patient outcomes, and ultimately save lives.