65 citations · 88 across the 3 of their papers we have counts for
3 papers
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…
eess.IV2023★ 6 cited
U-Netmer: U-Net meets Transformer for medical image segmentation
Sheng He, Rina Bao, P. Ellen Grant +1
The combination of the U-Net based deep learning models and Transformer is a new trend for medical image segmentation. U-Net can extract the detailed local semantic and texture inf…
cs.CV2022★ 17 cited
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…