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VNet3D

imported

software/vnet3d

Prostate MR Image Segmentation 2012

Machine-generated from the listed sources and not yet reviewed by a human.

VNet3D project image
GitHub preview card for junqiangchen/VNet3D. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
image-segmentation · loss · medical-imaging · miccai-grand-challenge · mri-images · prostate · segmentation · tensorflow
Regulatory
unknown
built by · 2

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • VNetimage-segmentation · loss · medical-imaging · prostate · segmentation

    Prostate MR Image Segmentation 2012

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    Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with…

  • 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…

  • SegNetCMRmri-images · segmentation · tensorflow

    A Tensorflow implementation of SegNet for cardiac MRI segmentation

  • 3d-prostate-segmentationmedical-imaging · mri-images · tensorflow

    Segmentation of prostate from MRI scans

  • aladdin_cmr_laimage-segmentation · medical-imaging · tensorflow

    Source code for Aladdin, a complete workflow for 3D MRI left atrium motion analysis

sources
  1. api.github.com/repos/junqiangchen/VNet3D
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2020-11-30, 138 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 →

machine-readable

/v1/entries/27.json→ .entries["vnet3d"]

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