openmedical/registry
← registry

picai_prep

imported

data/picai-prep

Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.

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

picai_prep project image
GitHub preview card for DIAGNijmegen/picai_prep. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
DIAGNijmegen
Country
unknown
Documentation
unknown
Tags
datasets · dicom · image-archives · medical-imaging · mha
Regulatory
unknown
built by · 3

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.

  • vanilla-rolldicom · medical-imaging · mha

    array-api based simple volume renderer

  • dataset-uta4-dicomdatasets · dicom · medical-imaging

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

  • dataset-uta7-dicomdatasets · dicom · medical-imaging

    [IJHCS] UTA7: a dataset with DICOM files of medical imaging provided by radiologists. The work was published in the International Journal of Human-Computer Studies.

  • amiddatasets · medical-imaging

    Awesome Medical Imaging Datasets

  • autoresearch-medimagedicom · medical-imaging

    Autonomous medical imaging AI research — bring any dataset, the agent runs experiments automatically. Built on karpathy/autoresearch.

  • dcmjs-codecsdicom · medical-imaging

    DICOM file and dataset transcoding for Node.js and browser using dcmjs

sources
  1. api.github.com/repos/DIAGNijmegen/picai_prep
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-03-26, 29 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/27.json→ .entries["picai-prep"]

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