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DICOMassist

imported

software/dicomassist

AI-powered DICOM viewer with smart slice selection for medical image analysis

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

DICOMassist project image
GitHub preview card for erketellal/DICOMassist. 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
Documentation
unknown
Tags
ai · claude-api · cornerstone3d · dicom · medical-imaging · radiology · react
Regulatory
unknown
built by · 1

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.

  • Dicom-Toolscornerstone3d · dicom

    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.

  • opengnothiaclaude-api

    OpenGnothia is a privacy-focused desktop app that helps you explore your inner world through AI-assisted therapy sessions, journaling, and dream analysis. All your data stays on your device.

  • DMWLT4dicom · medical-imaging · radiology

    Tool to test DICOM Modality Worklist

  • Flutter-Dicomdicom · medical-imaging · radiology

    An advanced medical imaging and DICOM processing library for Flutter, poIred by a high-performance Rust core and GPU Shaders.

  • LinaQAdicom · medical-imaging · radiology

    LinaQA (pronounced Linakwa) is a medical physics toolkit for radiotherapy, diagnostic radiology and nuclear medicine based on pylinac and pydicom.

  • open-dicom-viewerdicom · medical-imaging · radiology

    A native macOS DICOM medical image viewer built with SwiftUI. Multi-panel layouts, MPR reconstruction, and GPU-accelerated volume rendering.

sources
  1. api.github.com/repos/erketellal/DICOMassist
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-01, 14 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/28.json→ .entries["dicomassist"]

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