65 citations · 66 across the 2 of their papers we have counts for
2 papers
eess.IV2024★ 1 cited
Foundation AI Model for Medical Image Segmentation
Rina Bao, Erfan Darzi, Sheng He +6
Foundation models refer to artificial intelligence (AI) models that are trained on massive amounts of data and demonstrate broad generalizability across various tasks with high acc…
eess.IV2023★ 65 cited
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets
Sheng He, Rina Bao, Jingpeng Li +4
Background: The segment-anything model (SAM), introduced in April 2023, shows promise as a benchmark model and a universal solution to segment various natural images. It comes with…