SSCT
importedsoftware/ssct
[ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- xmindflow
- Country
- unknown
- Repository
- github.com/xmindflow/SSCT
- Documentation
- unknown
- Tags
- deformable-convolution · lung-segmentation · medical-image-segmentation · segmentation · self-supervised · skin · skin-lesion-segmentation · transformers
- Regulatory
- unknown
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.
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)
- lungmasklung-segmentation
Automated lung segmentation in CT
- Medical-Transformersegmentation · transformers
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
An implementation of two academic papers on determining skin colour pixels of images. Used to determine individual typology angle (ITA).
- skinopticsskin
SkinOptics is an open source Python package with tools for building human skin computational models for Monte Carlo simulations of light transport, as well as tools for analyzing simulation outputs.…
- AgileFormermedical-image-segmentation · transformers
This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"
- api.github.com/repos/xmindflow/SSCTretrieved 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.
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/v1/entries/28.json→ .entries["ssct"]
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