Development of a Computer-Aided Detection System for Early Diagnosis of Breast Cancer using Mammography Images

Thesis Abstract

Abstract
Breast cancer is a significant health concern worldwide, with early detection being crucial for successful treatment outcomes. Mammography is a widely used screening tool for breast cancer, but the interpretation of mammograms can be challenging and subjective. This research project focuses on the development of a Computer-Aided Detection (CAD) system to assist radiographers and clinicians in the early diagnosis of breast cancer using mammography images. The aim is to improve the accuracy and efficiency of breast cancer detection, ultimately leading to improved patient outcomes. The study begins with a comprehensive review of the existing literature in Chapter Two, examining the current state-of-the-art in CAD systems for breast cancer detection and highlighting the gaps in knowledge that this research aims to address. Chapter Three outlines the research methodology employed, detailing the data collection process, image processing techniques, algorithm development, and validation methods used to train and test the CAD system. In Chapter Four, the findings of the study are presented and discussed in detail. The performance of the developed CAD system is evaluated in terms of sensitivity, specificity, and overall accuracy compared to manual interpretation by radiologists. The strengths and limitations of the system are analyzed, along with potential areas for improvement and future research directions. Lastly, Chapter Five provides a summary of the project, drawing conclusions based on the research outcomes and discussing the implications for clinical practice. The significance of the developed CAD system in improving early detection rates and reducing false positives in breast cancer screening is highlighted. The study contributes to the ongoing efforts to enhance the efficiency and accuracy of breast cancer diagnosis, ultimately benefiting patients, healthcare providers, and the broader community. In conclusion, the "Development of a Computer-Aided Detection System for Early Diagnosis of Breast Cancer using Mammography Images" project represents a significant step forward in the field of radiography and breast cancer detection. By leveraging advanced technology and image analysis techniques, this research has the potential to make a meaningful impact on the early detection and management of breast cancer, ultimately improving patient outcomes and advancing the field of medical imaging.