multiverseg

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance

https://github.com/halleewong/multiverseg

Science Score: 54.0%

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Keywords

biomedical-image-processing in-context-prompting in-context-segmentation interactive-segmentation medical-imaging segmentation
Last synced: 6 months ago · JSON representation ·

Repository

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance

Basic Info
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  • Stars: 16
  • Watchers: 3
  • Forks: 5
  • Open Issues: 1
  • Releases: 0
Topics
biomedical-image-processing in-context-prompting in-context-segmentation interactive-segmentation medical-imaging segmentation
Created about 1 year ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

MultiverSeg

Project Page | Paper

Official implementation of MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance accepted at ICCV 2025

Hallee E. Wong, Jose Javier Gonzalez Ortiz, John Guttag, Adrian V. Dalca

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Updates

  • (2025-07-01) Checkout the 3DSlicer extension: https://github.com/dalcalab/SlicerMultiverSeg
  • (2025-06-25) MultiverSeg was accepted to ICCV 2025!
  • (2025-01-26) inference code and weights released
  • (2024-12-19) preprint released!

Models

We provide pre-trained weights here.

Installation

You can install multiverseg in two ways:

  • With pip:

pip install git+https://github.com/halleewong/MultiverSeg.git

  • Manually: cloning it and installing dependencies git clone https://github.com/halleewong/MultiverSeg python -m pip install -r ./MultiverSeg/requirements.txt export PYTHONPATH="$PYTHONPATH:$(realpath ./MultiverSeg)"

Getting Started

First download the model checkpoints cd checkpoints ./download.sh

Then see ./notebooks/inference.ipynb for a tutorial.

Acknowledgements

This project builds extensively on code originally developed for ScribblePrompt and UniverSeg

Citation

If you find our work or any of our materials useful, please cite our paper: @article{wong2024multiverseg, title={MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance}, author={Hallee E. Wong and Jose Javier Gonzalez Ortiz and John Guttag and Adrian V. Dalca}, journal={arXiv preprint arXiv:2412.15058}, year={2024}, }

Owner

  • Name: Hallee Wong
  • Login: halleewong
  • Kind: user
  • Location: Cambridge, MA
  • Company: MIT

Citation (CITATION.bib)

@article{wong2024multiverseg,
  title={MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance},
  author={Hallee E. Wong and Jose Javier Gonzalez Ortiz and John Guttag and Adrian V. Dalca},
  journal={arXiv preprint arXiv:2412.15058},
  year={2024},
}

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Last Year
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Last synced: 6 months ago

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