DICOM.jl
importedsoftware/dicom-juliahealth
Julia package for reading and writing DICOM (Digital Imaging and Communications in Medicine) files
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- JuliaHealth
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/JuliaHealth/DICOM.jl
- Documentation
- unknown
- Tags
- dicm · dicm-files · dicom · dicom-files · digital · images · imaging · julia
- 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.
- dicom_to_rosdicom · images
ROS 2 pipeline that receives DICOM files over the network and translates them into standard ROS 2 topics
- offaxis_autofocusdigital
The proposed hybrid model aims to deliver both aberration-free in-focus amplitude and phase reconstructions, while accurately predicting in-focus distances, from out-of-focus holograms. The tasks…
- offaxis_holosimdigital
This robust tool automates the simulation of the recording process, facilitating mass production of holograms and enhancing the development and training of deep learning models in DHM autofocusing…
- neuroformats-rsimages
Handling of structural neuroimaging file formats for Rust. FreeSurfer MGH, surf, label, annot, ...
- ShinySurferimages
Software Tool for the Analysis and Visualization of MRI images of the brain
- AlizaMSdicom · dicom-files
DICOM Viewer
- api.github.com/repos/JuliaHealth/DICOM.jlretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-27, 59 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 →
/v1/entries/33.json→ .entries["dicom-juliahealth"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.