Medical image computing is a research field dedicated to developing and applying computational and mathematical methods for the analysis and interpretation of medical images. It focuses on extracting clinically relevant information and knowledge from these images to support biomedical research and clinical care. This discipline encompasses methodologies for tasks such as image processing, segmentation, registration, feature extraction, and quantitative analysis, often incorporating advanced artificial intelligence and machine learning techniques for automated pattern recognition and analysis of anatomical structures and disease patterns.