2023
THEMES
medical imaging, computer vision, ai
RESOURCES
Optimizing Medical Segmentation with Integrated Med-SAM and Fast-SAM Models for Enhanced Accuracy in Multi-Modal Imaging Research Intern (Guide: Katie Link) - Developed novel models derived from the cumulative performance and extrapolation of Segment Anything Model (SAM), Medical SAM (Med-SAM), and Fast-SAM. The right image depicts me discussing results at Conference Hall, IITG. Hover shows results of segmentation of Med-SAM on diverse modalities. - Created a streamlined process that reduced the time it takes to analyze images by 68% and decreased the model size by 82% compared to Vanilla SAM model.