Development of a Mobile Application for Skin Cancer Detection and Self-Assessment

Thesis Abstract

**Abstract
** The rising incidence of skin cancer worldwide has prompted the need for innovative solutions to aid in early detection and self-assessment. This thesis presents the development of a mobile application aimed at assisting users in detecting and self-assessing skin cancer. The project focuses on leveraging the capabilities of smartphones to provide a user-friendly interface for capturing and analyzing images of suspicious skin lesions. The mobile application integrates advanced image processing algorithms to classify skin lesions as benign or malignant based on established criteria. The development process of the mobile application involved extensive research into skin cancer detection techniques, mobile application development, and user interface design principles. The literature review section examines existing approaches to skin cancer detection, highlighting the limitations and opportunities for improvement. Insights from the literature review guided the selection of appropriate image processing algorithms and machine learning models for the mobile application. The research methodology chapter outlines the steps taken to design, implement, and evaluate the mobile application. Key components of the methodology include data collection, algorithm development, user interface design, and testing procedures. The testing phase involved collecting a dataset of skin lesion images for training and validation purposes. The performance of the developed algorithms was evaluated using metrics such as sensitivity, specificity, and accuracy. The findings chapter presents a detailed analysis of the performance of the mobile application in detecting skin cancer. The results demonstrate the effectiveness of the image processing algorithms in accurately classifying skin lesions. User feedback obtained through usability testing sessions highlights the practicality and user-friendliness of the mobile application. The discussion section delves into the implications of the findings and avenues for future research and improvement. In conclusion, the "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" project represents a significant advancement in the field of dermatology by providing a convenient tool for early skin cancer detection and self-assessment. The mobile application has the potential to enhance public awareness of skin cancer and empower users to monitor their skin health proactively. This thesis contributes to the ongoing efforts to leverage technology for improving healthcare outcomes and underscores the importance of early detection in combating skin cancer.