PCRLv2
importedsoftware/pcrlv2
An official implementation of PCRLv2 (pre-training and fine-tuning code are included).
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- RL4M
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/RL4M/PCRLv2
- Documentation
- unknown
- Tags
- ct-scans · medical-image-analysis · mri · self-supervised-learning · x-ray
- 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.
- biomed_imagingmri · x-ray
Simulating biomedical imaging modalities (X-Ray, Positron Emission Tomography, Magnetic Resonance Imaging, Ultrasound Imaging) using MATLAB
- med-imaging-primermri · x-ray
A systematic guide from physical imaging principles(医学影像处理开源教程), reconstruction algorithms to deep learning post-processing. https://datawhalechina.github.io/med-imaging-primer/
- Fast-nnUNetct-scans · medical-image-analysis
This is the official repository for Fast-nnUNet, a new fast model inference framework based on the nnUNet framework implementation.
- 3DRDN-CycleGANct-scans · mri
Deep CNN for performing 3D super resolution on CT/MRI scans
- Hi-End-MAEmedical-image-analysis · 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 · self-supervised-learning
[TPAMI 2026] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
- api.github.com/repos/RL4M/PCRLv2retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-09-28, 99 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 →
/v1/entries/50.json→ .entries["pcrlv2"]
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