Imaging Technique

Imaging techniques are undergoing rapid advancements driven by the integration of machine learning, aiming to improve image quality, enhance diagnostic capabilities, and enable new applications. Current research focuses on developing automated pipelines for object detection and classification within images (e.g., using deep learning for exoplanet detection or circulating tumor cell identification), addressing data heterogeneity through data-centric strategies and novel model architectures (e.g., transformers and implicit neural representations for improved segmentation and reconstruction), and integrating diverse data modalities (e.g., combining imaging and tabular data for improved prognostic modeling). These improvements have significant implications for various fields, including medical diagnosis, astronomy, and materials science, by enabling more accurate, efficient, and less invasive procedures.