ukb_segmentation
importeddata/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.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/tarolangner/ukb_segmentation
- Documentation
- unknown
- Tags
- deep-learning · kidney · mri · neural-networks · parenchyma · pytorch · segmentation · semantic-segmentation · u-net · uk-biobank
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- mri-biometrymri · neural-networks · uk-biobank
Neural Networks for Deep Regression on UK Biobank neck-to-knee body MRI
- kits19.MIScnnkidney · segmentation · u-net
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
- api.github.com/repos/tarolangner/ukb_segmentationretrieved 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 →
/v1/entries/46.json→ .entries["ukb-segmentation"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.