openmedical/registry
← registry

deep-dicom

imported

software/deep-dicom

Preprocess and standardize DICOM data for deep learning applications in radiotherapy.

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

deep-dicom project image
GitHub preview card for ababier/deep-dicom. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
dicom · dicom-images · medical-imaging · medical-physics · radiation-therapy · unet-pytorch
Regulatory
unknown
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.

  • LinaQAdicom · medical-imaging · medical-physics · radiation-therapy

    LinaQA (pronounced Linakwa) is a medical physics toolkit for radiotherapy, diagnostic radiology and nuclear medicine based on pylinac and pydicom.

  • pymedphysdicom · medical-physics · radiation-therapy

    A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better…

  • Gatemedical-imaging · medical-physics · radiation-therapy

    Official public repository of Gate

  • med-phys-scriptsmedical-physics · radiation-therapy

    Code from my work as Radiation Physicist Assistant at Cookeville Regional Medical Center

  • Hippocampus_Segmentation_MRIdicom · unet-pytorch

    Udacity AI for Healthcare Nanodegree Project: Measurement of Hippocampus Structure in MRI 3-D Images using Deep Learning Image Segmentation

  • dicomdicom · dicom-images · medical-imaging

    High Performance DICOM Medical Image Parser in Go.

sources
  1. api.github.com/repos/ababier/deep-dicom
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-03-10, 3 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 →

machine-readable

/v1/entries/38.json→ .entries["deep-dicom"]

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