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delia

imported

data/delia

DICOM Extraction for Large-scale Image Analysis (DELIA).

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

record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
MedPhysUL
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ai · database · dataset · deep-learning · dicom · dicom-seg · formatting · hdf5
Regulatory
unknown
built by · 6

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.

  • pydicom-segdicom · dicom-seg

    Python package for DICOM-SEG medical segmentation file reading and writing

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    A cool place to store your Hi-C

  • Instacart-USDAdatabase · dataset

    Merge of Instacart dataset and USDA Nutritional Information

  • MMPD_rPPG_datasetdatabase · dataset

    MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)

  • dataset-uta4-dicomdataset · dicom

    [AVI 2020] UTA4: Medical Imaging DICOM files dataset.

  • Standard health reference databases including units of measurement, biomarkers, medical codes, medications, side-effects, supplements, foods, ingredients, and more.

sources
  1. api.github.com/repos/MedPhysUL/delia
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-01-24, 17 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 →

machine-readable

/v1/entries/40.json→ .entries["delia"]

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