You're currently viewing an old version of this dataset. To see the current version, click here.

One-shot Localization and Segmentation of Medical Images with Foundation Models

A variety of pre-trained ViT (DINO, DINOv2, SAM, CLIP) and SD models, trained exclusively on natural images, for solving the correspondence problems on medical images.

Data and Resources

This dataset has no data

Cite this as

Deepa Anand, Gurunath Reddy M, Vanika Singhal, Dattesh D. Shanbhag, Shriram KS, Uday Patil, Chitresh Bhushan, Kavitha Manickam, Dawei Gui, Rakesh Mullick, Avinash Gopal, Parminder Bhatia, Taha Kass-Hout (2024). Dataset: One-shot Localization and Segmentation of Medical Images with Foundation Models. https://doi.org/10.57702/40tzo4ib

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2310.18642
Author	Deepa Anand
More Authors	Gurunath Reddy M Vanika Singhal Dattesh D. Shanbhag Shriram KS Uday Patil Chitresh Bhushan Kavitha Manickam Dawei Gui Rakesh Mullick Avinash Gopal Parminder Bhatia Taha Kass-Hout