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MIScnn

imported

software/miscnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

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
frankkramer-lab
Country
unknown
Homepage
unknown
Repository
github.com/frankkramer-lab/MIScnn
Documentation
unknown
Tags
clinical-decision-support · computer-vision · convolutional-neural-networks · deep-learning · framework · healthcare-imaging · medical-image-analysis · medical-image-processing
Regulatory
unknown
built by · 6

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

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  • radiologyintrinsicmanifoldsmedical-image-analysis · medical-image-processing

    (MICCAI 2022) Code for "The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning" (intrinsic dimensions)

  • RadVismedical-image-analysis · medical-image-processing

    RadVis (Radiology Visualization) is a visualization tool for medical images.

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

    Machine-imported from GitHub search. Last push 2023-05-10, 425 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/17.json→ .entries["miscnn"]

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