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.

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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

DOI retrieved: December 16, 2024

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