Mammography Image

Mammography image analysis focuses on developing computer-aided diagnosis (CAD) systems to improve the accuracy and efficiency of breast cancer detection. Current research emphasizes integrating multimodal data, such as radiology reports and patient information, with image features using deep learning architectures like U-Net, ResNets, and Vision Transformers, often incorporating techniques like contrastive learning and generative adversarial networks. These advancements aim to enhance lesion segmentation, classification (including malignancy and subtype identification), and overall diagnostic performance, ultimately leading to improved patient care and reduced healthcare costs.