Thesis Abstract

**Abstract
** Skin cancer is one of the most prevalent types of cancer worldwide, with early detection being critical for successful treatment and improved outcomes. The emergence of smartphone technology has opened up new possibilities for healthcare applications, including skin cancer detection and self-diagnosis. This thesis focuses on the development of a smartphone application designed to assist users in identifying potential signs of skin cancer through image analysis and self-assessment. The project begins with an in-depth exploration of the background of skin cancer, highlighting its prevalence, risk factors, and the importance of early detection. The problem statement underscores the limitations faced by individuals in accessing timely dermatological services for skin cancer evaluation. The primary objective of this study is to develop a user-friendly smartphone application that enables users to capture and analyze images of suspicious skin lesions for preliminary assessment. The research methodology employed in this project involves a comprehensive review of existing literature on skin cancer detection methods and smartphone-based healthcare applications. The development process of the application is guided by user-centered design principles and incorporates machine learning algorithms for image analysis. The dataset used for training and validation purposes consists of a diverse range of skin lesion images obtained from medical databases. Chapter four presents a detailed discussion of the findings obtained from the evaluation of the developed smartphone application. The results demonstrate the efficacy of the application in accurately identifying potential signs of skin cancer, thus empowering users to take proactive steps towards seeking professional medical advice. The limitations of the study, including the need for continuous updates and improvements to enhance accuracy and reliability, are also addressed. In conclusion, the significance of this study lies in its contribution to the field of dermatology by leveraging smartphone technology to facilitate early skin cancer detection and self-diagnosis. The smartphone application serves as a valuable tool for individuals to monitor changes in their skin health and seek medical attention promptly when necessary. The thesis underscores the importance of collaboration between technology developers and healthcare professionals to harness the potential of digital health solutions in improving patient outcomes. Overall, the "Development of a Smartphone Application for Skin Cancer Detection and Self-Diagnosis" thesis offers a novel approach to empowering individuals in managing their skin health and underscores the potential of technology in revolutionizing healthcare delivery.

Thesis Overview