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MultiverSeg

imported

data/multiverseg

[ICCV 2025] MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance

Machine-generated from the listed sources and not yet reviewed by a human.

MultiverSeg project image
GitHub preview card for halleewong/MultiverSeg. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
biomedical-image-processing · in-context-prompting · in-context-segmentation · interactive-segmentation · medical-imaging · segmentation
Regulatory
unknown
built by · 2

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    [ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

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    Segment Anything for Microscopy

  • lisp-netinteractive-segmentation · medical-imaging

    Lightweight interactive medical image segmentation via in-context learning. Single dense 2D prompt + interactions → full 3D mask. Runs in-browser.

  • Paint4Brainsbiomedical-image-processing · segmentation

    A brain MRI segmentation tool that provides accurate robust segmentation of problematic brain regions across the neurodegenerative spectrum. The methodology is generalisable to perform well with the…

  • pytorch_connectomicsbiomedical-image-processing · segmentation

    PyTorch Connectomics: segmentation toolbox for EM connectomics

sources
  1. api.github.com/repos/halleewong/MultiverSeg
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-09-24, 52 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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/v1/entries/32.json→ .entries["multiverseg"]

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