medigan
importeddata/medigan
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/RichardObi/medigan
- Documentation
- unknown
- Tags
- computer-vision · dataset · deep-learning · endoscopy · gans · generation · generative-adversarial-network · generative-ai
- 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.
- ultrasound_denoising_GANgans · generative-ai
Demo to use GANs for denoising and synthesising ultrasound images
- Project-Imaging-Xendoscopy
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
- Co-VeGANgans · generative-adversarial-network
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
- GANs-Style-Transfer-MRI-T2-to-T2gans · generative-adversarial-network
GANs-Style-Transfer-MRI-T2-to-T2 : Misdiagnosis in the medical field is a very serious issue but it’s also uncomfortably common to occur. Imaging procedures in the medical field requires an expert…
- BayesCapcomputer-vision · gans
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
- SimulatingDCEgenerative-adversarial-network · generative-ai
Official repository of "Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks"
- api.github.com/repos/RichardObi/mediganretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-22, 203 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/22.json→ .entries["medigan"]
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