dataset-uta4-dicom
importeddata/dataset-uta4-dicom
[AVI 2020] UTA4: Medical Imaging DICOM files dataset.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- MIMBCD-UI
- Country
- unknown
- Repository
- github.com/MIMBCD-UI/dataset-uta4-dicom
- Documentation
- unknown
- Tags
- dataset · datasets · dicom · dicom-images · human-computer-interaction · medical-imaging · quantitative-analysis
- 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.
- dataset-uta4-ratesdataset · datasets · human-computer-interaction
[AVI 2020] UTA4: Rates (BIRADS) dataset.
- picai_prepdatasets · dicom · medical-imaging
Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.
- Open-food-caloriesdataset · datasets
Open-Food-Calories is a high-performance JSON database of 5,000+ foods, dishes, and ingredients. Accuracy Rate: 99.2% (validated via cross-referencing). Coverage: 5,000+ global entries. Data…
- dicomdicom · dicom-images · medical-imaging
High Performance DICOM Medical Image Parser in Go.
- dicom2jpgdicom · dicom-images · medical-imaging
A simple Python function tool to convert DICOM files into jpg/png/bmp/tiff files and numpy.ndarray
- DicomBrowserdicom · dicom-images · medical-imaging
Lightweight portable Dicom browser application
- api.github.com/repos/MIMBCD-UI/dataset-uta4-dicomretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-01-04, 18 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/51.json→ .entries["dataset-uta4-dicom"]
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