mis-ai-accelerator
importedsoftware/mis-ai-accelerator
Google Cloud Medical Imaging ML Development Accelerators
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- GoogleCloudPlatform
- Country
- unknown
- Homepage
- cloud.google.com/medical-imaging
- Documentation
- unknown
- Tags
- dicom · foundational-models · google-cloud · jupyter · machine-learning · medical-imaging · medical-imaging-suite · pacs
- Regulatory
- unknown
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.
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
- healthcare-dicom-dicomweb-adapterdicom · google-cloud
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.
- api.github.com/repos/GoogleCloudPlatform/mis-ai-acceleratorretrieved 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 →
/v1/entries/11.json→ .entries["mis-ai-accelerator"]
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