Region of Interest

A region of interest (ROI) designates a specific area within an image or dataset deemed crucial for analysis, enabling focused processing and reduced computational burden. Current research emphasizes efficient ROI detection and selection methods, often employing deep learning architectures like YOLO and transformers, and integrating them with attention mechanisms to enhance accuracy and reduce resource consumption. This focus is driven by applications across diverse fields, including medical imaging (improving diagnostic accuracy and efficiency), remote sensing (generating precise urban maps), and computer vision (optimizing object detection and image compression), highlighting the broad impact of effective ROI strategies.