Fig. 2
From: Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence
Comparative Visualization of ‘Segment Anything Model’ Performance on an Unseen 2D PET Image. Panel A displays the original PET image slice. Panel B illustrates the ‘Segment Anything Model’ executing point-based segmentation, pinpointing a singular region of interest (ROI). Panel C demonstrates the model applying a bounding box approach to encapsulate the ROI within a minimal rectangular boundary. Panel D presents the multi-mask segmentation capability of the model, initiated from a point-based prompt to discern multiple areas with varying intensities. Panel E showcases the fully autonomous segmentation proficiency of the ‘Segment Anything Model,’ delineating multiple ROIs without any manual prompts