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kits19.MIScnn

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software/kits19-miscnn

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

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kits19.MIScnn project image
GitHub preview card for muellerdo/kits19.MIScnn. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
convolutional-neural-networks · deep-learning · kidney · kits19 · medical-image-processing · medical-image-segmentation · segmentation · u-net
Regulatory
unknown
built by · 1

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.

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  • ukb_segmentationkidney · segmentation · u-net

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

  • covid19.MIScnnmedical-image-processing · segmentation · u-net

    Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

  • Paint4Brainsconvolutional-neural-networks · 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…

  • Mobile-U-ViTmedical-image-segmentation · segmentation · u-net

    [ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation

  • Kidney Tumor Segmentation Challenge 2019

sources
  1. api.github.com/repos/muellerdo/kits19.MIScnn
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-07-21, 37 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/1.json→ .entries["kits19-miscnn"]

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