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kits19-challenge

imported

software/kits19-challenge

Kidney Tumor Segmentation Challenge 2019

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

kits19-challenge project image
GitHub preview card for nitsaick/kits19-challenge. 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
Homepage
unknown
Documentation
unknown
Tags
deep-learning · kits19 · medical-imaging · miccai-2019 · pytorch · semantic-segmentation
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.

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

  • active-segmentationmedical-imaging · pytorch · semantic-segmentation

    ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation

  • MultiResUNetmedical-imaging · pytorch · semantic-segmentation

    MultiResUNet implementation in PyTorch; MultiResUNet: Rethinking the U-Net Architecture for Multimodal

  • OSS-Netmedical-imaging · pytorch · semantic-segmentation

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

  • mmsegmentationpytorch · semantic-segmentation

    OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  • medico-sammedical-imaging · semantic-segmentation

    Segment Anything for Medical Imaging

sources
  1. api.github.com/repos/nitsaick/kits19-challenge
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-06-21, 55 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["kits19-challenge"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.