Thesis Abstract

Abstract
Skin cancer is a significant global health concern, and early detection plays a crucial role in improving patient outcomes. Developing innovative solutions to aid in the early detection of skin cancer is vital. This thesis presents the development of a mobile application designed for skin cancer detection and self-assessment. The mobile application utilizes advanced image processing algorithms and machine learning techniques to analyze images of skin lesions and provide users with information regarding the likelihood of malignancy. The research begins with an introduction to the problem of skin cancer and the need for improved detection methods. A comprehensive literature review is conducted to explore existing technologies and approaches in the field of dermatology and mobile health applications. The literature review highlights the limitations of current methods and sets the foundation for the proposed mobile application. The methodology chapter outlines the design and development process of the mobile application. Key components include image acquisition, image processing, feature extraction, and machine learning model implementation. The research methodology also describes the data collection process, algorithm selection, and evaluation metrics used to assess the performance of the mobile application. The findings chapter presents the results of the evaluation of the mobile application. Performance metrics such as sensitivity, specificity, and accuracy are reported to demonstrate the effectiveness of the application in detecting skin cancer. User feedback and usability testing results are also discussed to provide insights into the practical application of the mobile tool. The discussion chapter delves into the implications of the research findings and their significance in the field of dermatology and mobile health. Limitations of the study are acknowledged, and recommendations for future research and improvements to the mobile application are provided. In conclusion, the development of a mobile application for skin cancer detection and self-assessment represents a significant advancement in the field of dermatology. The application has the potential to empower users to monitor their skin health proactively and seek medical attention promptly when necessary. By leveraging technology to improve early detection of skin cancer, this research contributes to saving lives and enhancing healthcare outcomes.

Thesis Overview

The project titled "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" focuses on addressing the critical need for early detection and self-assessment of skin cancer through the use of mobile technology. Skin cancer is a serious and potentially life-threatening condition that requires early detection for effective treatment. With the increasing use of smartphones and mobile applications in healthcare, developing a user-friendly and accurate mobile application for skin cancer detection and self-assessment can significantly benefit individuals in monitoring their skin health. This research project aims to leverage the capabilities of mobile technology to empower users to perform self-assessment of their skin for signs of skin cancer, such as changes in moles, lesions, or discoloration. The mobile application will utilize advanced image recognition algorithms to analyze photos of skin lesions uploaded by users and provide real-time feedback on the likelihood of skin cancer presence. Additionally, the application will offer educational resources on skin cancer prevention, early detection, and treatment options to promote skin health awareness among users. The research will involve a comprehensive literature review to explore existing technologies, methodologies, and best practices in skin cancer detection and mobile health applications. By synthesizing insights from relevant studies and industry developments, the project will identify gaps in current approaches and propose innovative solutions for enhancing skin cancer detection through a mobile application platform. The methodology of the research will involve the design and development of the mobile application, incorporating user-friendly interfaces, secure data storage, and robust image analysis algorithms. User testing and validation will be conducted to assess the accuracy and usability of the application, ensuring that it meets the needs and expectations of its target users. The findings of the research will be presented and discussed in detail, highlighting the effectiveness of the mobile application in facilitating skin cancer detection and self-assessment. The discussion will also address challenges encountered during the development process and propose recommendations for future enhancements and research directions in the field of mobile health applications for skin cancer detection. In conclusion, the project "Development of a Mobile Application for Skin Cancer Detection and Self-Assessment" aims to contribute to the advancement of healthcare technology by providing a convenient and accessible tool for individuals to monitor their skin health and detect potential signs of skin cancer early. By leveraging the power of mobile technology and image analysis algorithms, the research seeks to empower users to take proactive steps towards skin cancer prevention and early intervention, ultimately improving health outcomes and saving lives.