deephealth-annotate
importedsoftware/deephealth-annotate
DeepHealth Annotate is a web-based tool for viewing and annotating DICOM images. Annotation metadata can be exported in JSON format to be used for a variety of purposes, such as creating training…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- umb-deephealth
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- angular · annotation-tool · cancer-detection · cornerstone · deephealth · dicom · mammography · open-science
- 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.
- perspectadicom · mammography
Fast, minimalist medical image viewer
- calculate-suvcornerstone · dicom
Tiny library for calculating Standardized Uptake Value for Nuclear Medicine (i.e. PET, SPECT)
- cornerstonecornerstone · dicom
[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/
- cornerstoneToolscornerstone · dicom
[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/
- cornerstoneWADOImageLoadercornerstone · dicom
[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/
- Dental-CBCT-Viewercornerstone · dicom
🦷 Dental CBCT (Cone Beam Computed Tomography) DICOM viewer in React + Cornerstone3D - MPR & 3D views, panoramic (OPG) reconstruction, cross-sections, measurements, 3D implant planning with layers…
- api.github.com/repos/umb-deephealth/deephealth-annotateretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-03-04, 18 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/4.json→ .entries["deephealth-annotate"]
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