Digital Mammogram

Digital mammography utilizes X-ray imaging to detect breast cancer, with current research focusing on improving accuracy and efficiency through advanced computational methods. This involves developing and refining deep learning models, including convolutional neural networks and diffusion models, to enhance image analysis, detect lesions, and predict cancer risk, often incorporating techniques like federated learning to address data heterogeneity and privacy concerns. These advancements aim to improve diagnostic accuracy, reduce false positives, and ultimately lead to earlier and more effective breast cancer detection, impacting both clinical practice and the development of more equitable AI-driven healthcare solutions.