openmedical/registry
← registry

SSCT

imported

software/ssct

[ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation

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

SSCT project image
GitHub preview card for xmindflow/SSCT. 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
maintained
Maturity
deployed
Organization
xmindflow
Country
unknown
Documentation
unknown
Tags
deformable-convolution · lung-segmentation · medical-image-segmentation · segmentation · self-supervised · skin · skin-lesion-segmentation · transformers
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.

  • HiFormermedical-image-segmentation · skin-lesion-segmentation · transformers

    HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

  • BEFUnetsegmentation · skin-lesion-segmentation · transformers

    A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation

  • Lung-Tumor-Segmentation-DSlung-segmentation · medical-image-segmentation · segmentation

    Lung tumor segmentation with the UNet model.

  • MedDiffSegmentmedical-image-segmentation · skin-lesion-segmentation

    Medical image segmentation using diffusion models — an improved implementation of MedSegDiff with modular architecture, multi-GPU training, and FP16 inference.

  • skin-segmentationsegmentation · skin

    Two methods for segmenting skin on ultrasound B-mode images

  • covid19.MIScnnlung-segmentation · segmentation

    Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

sources
  1. api.github.com/repos/xmindflow/SSCT
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-10-11, 26 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/28.json→ .entries["ssct"]

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