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Large-Scale-Medical

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software/large-scale-medical

[TPAMI 2026] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

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Large-Scale-Medical project image
GitHub preview card for Luffy03/Large-Scale-Medical. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
benchmark · foundation-models · large-scale-learning · medical-image-analysis · medical-image-segmentation · pretrained-models · self-supervised-learning
Regulatory
unknown
built by · 1

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.

  • Hi-End-MAEfoundation-models · medical-image-analysis · medical-image-segmentation · self-supervised-learning

    [MedIA 2026] Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation

  • VoComedical-image-analysis · medical-image-segmentation · self-supervised-learning

    [CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis

  • U-Benchbenchmark · medical-image-analysis · medical-image-segmentation

    U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

  • irim_fastMRIlarge-scale-learning

    i-RIM applied to the fastMRI challenge data.

  • STU-Netfoundation-models · medical-image-segmentation · pretrained-models

    The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

  • STU-Netfoundation-models · medical-image-segmentation · pretrained-models

    The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.

sources
  1. api.github.com/repos/Luffy03/Large-Scale-Medical
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-09, 283 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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/v1/entries/9.json→ .entries["large-scale-medical"]

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