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ukb_segmentation

imported

data/ukb-segmentation

PyTorch implementation for 2.5D U-Net segmentation of UK Biobank neck-to-knee body MRI

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

ukb_segmentation project image
GitHub preview card for tarolangner/ukb_segmentation. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · kidney · mri · neural-networks · parenchyma · pytorch · segmentation · semantic-segmentation · u-net · uk-biobank
Regulatory
unknown
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.

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    Neural Networks for Deep Regression on UK Biobank neck-to-knee body MRI

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    Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net

  • Paint4Brainsmri · segmentation · u-net

    A brain MRI segmentation tool that provides accurate robust segmentation of problematic brain regions across the neurodegenerative spectrum. The methodology is generalisable to perform well with the…

  • OSS-Netpytorch · segmentation · semantic-segmentation

    Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].

  • VT-UNetmri · pytorch · segmentation

    [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

  • ehr-codesetsuk-biobank

    Code sets for Electronic Health Record research

sources
  1. api.github.com/repos/tarolangner/ukb_segmentation
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-02-10, 18 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/46.json→ .entries["ukb-segmentation"]

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