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AMIGOpy

imported

software/amigopy

Software for research and education in medical physics

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

AMIGOpy project image
GitHub preview card for PhysicsResearch/AMIGOpy. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
www.amigo-medphys.com/
Repository
github.com/PhysicsResearch/AMIGOpy
Documentation
unknown
Tags
4dct · dicom · medical-image-processing · medical-image-segmentation · medical-imaging · radiotherapy
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.

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    Official Pytorch Code base for "MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation"

  • VoxelSagemedical-image-processing · medical-image-segmentation · medical-imaging

    VoxelSage turns CT scans into actionable 3D insights—automatically segmenting anatomy, quantifying tumors and vessels, generating structured reports, and powering agent-guided surgical analysis.

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

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

  • DICOM-to-JPEG-Converterdicom · medical-image-processing · medical-imaging

    Convert DICOM medical images to JPEG for easy viewing, sharing, and AI model input (e.g. Google's MedGemma).

sources
  1. api.github.com/repos/PhysicsResearch/AMIGOpy
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-20, 8 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/23.json→ .entries["amigopy"]

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