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ITKIT

imported

software/itkit

ITKIT: Feasible Medical Image Operation based on SimpleITK API

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

ITKIT project image
GitHub preview card for MGAMZ/ITKIT. 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
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/MGAMZ/ITKIT
Documentation
unknown
Tags
dicom · medical-image-processing · openmmlab · pytorch · simpleitk
Regulatory
unknown
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.

  • Dicom-Image-Registration-Pythondicom · medical-image-processing · simpleitk

    Dicom Image Registration Program in Python using a modified SimpleITK/SimpleElastix module compiled from source

  • animated-medical-imagingdicom · simpleitk

    Streamlines the process of generating an optimal subset representing a multi-dimensional medical image and combining the subset to an animated sequence.

  • Dicom-Toolsdicom · simpleitk

    Multi-language DICOM workbench for comparing DCMTK, GDCM, ITK/VTK, dicom-rs, fo-dicom, dcm4che, Cornerstone3D, pydicom/pynetdicom, and related backends through a shared UI and contract runner.

  • segmentation-evaldicom · simpleitk

    Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

  • n4axsimpleitk

    JAX/GPU N4 bias field correction — a fast drop-in match for SimpleITK N4 (~2600x faster on A100, <0.2% match)

  • neuroimaging-with-pythonsimpleitk

    Make some SPM Features With Python

sources
  1. api.github.com/repos/MGAMZ/ITKIT
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-24, 6 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/4.json→ .entries["itkit"]

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