15 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation
Aimee Guo, Grace Fei, Hemanth Pasupuleti +1
The newly released Segment Anything Model (SAM) is a popular tool used in image processing due to its superior segmentation accuracy, variety of input prompts, training capabilitie…
cs.CV2023★ 15 cited
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
Yunxiang Li, Bowen Jing, Zihan Li +2
Automatic segmentation of medical images is crucial in modern clinical workflows. The Segment Anything Model (SAM) has emerged as a versatile tool for image segmentation without sp…