Imaging and Communication in Medicine

Medical imaging and communication research focuses on improving the efficiency and accuracy of handling and analyzing medical images, primarily within the DICOM standard. Current efforts concentrate on developing automated methods for image classification, data harmonization across diverse datasets using deep learning models and metadata analysis, and efficient compression techniques to manage the ever-increasing volume of medical image data. These advancements are crucial for facilitating large-scale clinical studies, improving diagnostic workflows, and enabling the wider adoption of AI-powered tools in medical practice.