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mis-ai-accelerator

imported

software/mis-ai-accelerator

Google Cloud Medical Imaging ML Development Accelerators

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

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
GoogleCloudPlatform
Country
unknown
Documentation
unknown
Tags
dicom · foundational-models · google-cloud · jupyter · machine-learning · medical-imaging · medical-imaging-suite · pacs
Regulatory
unknown
built by · 2

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.

  • healthcare-api-dicomweb-clidicom · google-cloud

    A command line tool for interacting with a DICOMweb server

  • Adapter which transforms DIMSE requests to DICOMweb requests

  • dicomdicom · medical-imaging · pacs

    High Performance DICOM Medical Image Parser in Go.

  • DMWLT4dicom · medical-imaging · pacs

    Tool to test DICOM Modality Worklist

  • rusty-dicom-nodedicom · medical-imaging · pacs

    Terminal-first Rust DICOM node client built on dicom-rs, focused on remote node configuration, C-FIND/C-MOVE/C-STORE workflows, SQLite local indexing, recursive/ZIP import, and a ratatui TUI.

  • aditdicom · pacs

    ADIT (Automated DICOM Transfer) is a swiss army knife to exchange DICOM data between various systems by using a convenient web frontend and DICOMweb compatible API client.

sources
  1. api.github.com/repos/GoogleCloudPlatform/mis-ai-accelerator
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-07-29, 20 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/11.json→ .entries["mis-ai-accelerator"]

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