openmedical/registry
← registry

QG-SSL

imported

software/qg-ssl

[MICCAI '26 Early Accept] Quality-Guided Semi-Supervised Learning for Medical Image Segmentation

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

QG-SSL project image
GitHub preview card for sfu-mial/QG-SSL. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
sfu-mial
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
colonoscopy · deep-learning · dermatology-ai · image-segmentation · medical-ai · medical-image-segmentation · medical-imaging · pytorch · semi-supervised-learning
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.

  • Polyp-Segmentation-Toolcolonoscopy · image-segmentation · medical-image-segmentation · medical-imaging

    U-Net polyp segmentation for colonoscopy images, with a TensorFlow and Streamlit app built on the Kvasir-SEG dataset.

  • VPScolonoscopy · medical-image-segmentation · pytorch

    Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

  • BTSC-UNet-ViTimage-segmentation · medical-ai · medical-imaging · pytorch

    🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…

  • PraNet-V2colonoscopy · medical-image-segmentation

    PraNet-V2: Upgrading PraNet from binary (V1) to multi-class (V2) segmentation . Support both Jittor & PyTorch DL frameworks.

  • Light-UNETRmedical-image-segmentation · medical-imaging · semi-supervised-learning

    [TPAMI' 2025] Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation

  • Multi-Level-Global-Context-Cross-Consistencymedical-image-segmentation · medical-imaging · semi-supervised-learning

    Official Pytorch Code base for "Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model"

sources
  1. api.github.com/repos/sfu-mial/QG-SSL
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-04, 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/58.json→ .entries["qg-ssl"]

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