VoCo
importedsoftware/voco
[CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Luffy03/VoCo
- Documentation
- unknown
- Tags
- medical-image-analysis · medical-image-segmentation · self-supervised-learning
- 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.
- Hi-End-MAEmedical-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
- Large-Scale-Medicalmedical-image-analysis · medical-image-segmentation · self-supervised-learning
[TPAMI 2026] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
- PCRLv2medical-image-analysis · self-supervised-learning
An official implementation of PCRLv2 (pre-training and fine-tuning code are included).
- AUDITmedical-image-analysis · medical-image-segmentation
AUDIT - Analysis & Evaluation Dashboard of Artificial Intelligence
- DAEFormermedical-image-analysis · medical-image-segmentation
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
- MedNeXtmedical-image-analysis · medical-image-segmentation
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
- api.github.com/repos/Luffy03/VoCoretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-12-01, 230 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/36.json→ .entries["voco"]
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