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kits19.MIScnn

imported

software/kits19-miscnn

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

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

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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    Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI

  • U-Benchmedical-image-segmentation · u-net

    U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

  • LightMedconvolutional-neural-networks · medical-image-processing · medical-image-segmentation

    FFTMed: leveraging fast-fourier transform for a lightweight and adversarial-resilient medical image segmentation framework (published at Scientific Reports - Nature)

  • User-friendly software for organizing/processing/annotating ultrasound scans of sea turtles

  • Containerized workflow for analysis of human diabetic kidney disease by snRNA-seq and snATAC-seq

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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