VNet
importedsoftware/vnet
Prostate MR Image Segmentation 2012
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
- unknown
- Country
- unknown
- Homepage
- promise12.grand-challenge.org/
- Repository
- github.com/junqiangchen/VNet
- Documentation
- unknown
- Tags
- bmp · challenge · groupnormalization · image-segmentation · loss · medical-imaging · prostate · python35 · segmentation · segmentation-network · tensroflow · vnet
- 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.
- VNet3Dimage-segmentation · loss · medical-imaging · prostate · segmentation
Prostate MR Image Segmentation 2012
- RACLAHE_Image_Enhancement_for_CNN_model_segmentationprostate · segmentation
This is the original implementation repo to support the "Region Adaptive Magnetic Resonance Image Enhancement for improving CNN based segmentation of the prostate and prostatic zones" publication on…
- mama-synthchallenge · segmentation
MAMA-SYNTH Challenge @MICCAI 2026 and Deep-Breath 2026.
- STS-challenge.github.iochallenge · segmentation
Semi-supervised Teeth Segmentation Challenge
A plugin to extend ImageIO with JDeli.
- Cooperative_Training_and_Latent_Space_Data_Augmentationimage-segmentation · medical-imaging · segmentation
[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
- api.github.com/repos/junqiangchen/VNetretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2020-01-16, 59 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/28.json→ .entries["vnet"]
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