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registration-in-action

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software/registration-in-action

动手学深度学习图像配准(DLIR)

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

registration-in-action project image
GitHub preview card for AIforMS/registration-in-action. 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
AIforMS
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · medical-imaging · pytorch · registration
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.

  • TorchRegistermedical-imaging · pytorch · registration

    Common 2D and 3D image registration methods such as rigid, affine, and flow field for PyTorch.

  • cycpdmedical-imaging · registration

    Cython implementation of Coherent Point Drift (CPD)

  • Dicom-Image-Registration-Pythonmedical-imaging · registration

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

  • platipymedical-imaging · registration

    Processing Library and Analysis Toolkit for Medical Imaging in Python

  • svrmedical-imaging · registration

    [CVPR2024] Fully convolutional slice-to-volume reconstruction for single-stack MRI

  • active-segmentationmedical-imaging · pytorch

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

sources
  1. api.github.com/repos/AIforMS/registration-in-action
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-10-18, 27 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/57.json→ .entries["registration-in-action"]

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