ROI Extraction

Region of interest (ROI) extraction focuses on automatically identifying and isolating relevant areas within images or other data, improving efficiency and accuracy in various analyses. Current research emphasizes deep learning approaches, including adaptations of models like R-CNN and the Segment Anything Model, often incorporating techniques like contrastive learning and semi-supervised learning to address data limitations and improve robustness. These advancements are significantly impacting fields such as medical image analysis (e.g., cancer detection), industrial quality control (e.g., microchip fabrication), and autonomous systems (e.g., object detection in video), enabling faster, more accurate, and more efficient processing of large datasets.