most citedRAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2024★ 1 cited

On generalisability of segment anything model for nuclear instance segmentation in histology images

Kesi Xu, Lea Goetz, Nasir Rajpoot

Pre-trained on a large and diverse dataset, the segment anything model (SAM) is the first promptable foundation model in computer vision aiming at object segmentation tasks. In thi…