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GLIMS

imported

data/glims

[IMAVIS] The official repository of GLIMS, for 3D volumetric segmentation. Optimized on BraTS 2023 and BTCV datasets.

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

GLIMS project image
GitHub preview card for yaziciz/GLIMS. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
brats-challenge · mri · multimodal · tumor-segmentation
Regulatory
unknown
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.

  • MuTILs_Panoptictumor-segmentation

    Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.

  • [CCF BDCI 2021] This is the source code of the 1st place solution for segmentation task (with Dice 90.32%) in 2021 CCF BDCI challenge.

  • RARE-UNettumor-segmentation

    This repository features RARE-UNet a resolution-aware 3D U-Net for adaptive medical segmentation. It uses multi-scale entry blocks and resolution-based routing to dynamically adjust the inference…

  • VoxelSagetumor-segmentation

    VoxelSage turns CT scans into actionable 3D insights—automatically segmenting anatomy, quantifying tumors and vessels, generating structured reports, and powering agent-guided surgical analysis.

  • micapipemri · multimodal

    micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below

  • MDS-EDmultimodal

    Repository for the paper 'Enhancing Clinical Decision Support with Physiological Waveforms — A Multimodal Benchmark in Emergency Care'.

sources
  1. api.github.com/repos/yaziciz/GLIMS
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-07-09, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/1.json→ .entries["glims"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.