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medical-image-processing

imported

software/medical-image-processing

Medical Image Processing with Python

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

medical-image-processing project image
GitHub preview card for carpentries-incubator/medical-image-processing. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
CC-BY-4.0, MIT(mixed)
Status
active
Maturity
deployed
Organization
carpentries-incubator
Country
unknown
Documentation
unknown
Tags
carpentries-incubator · english · image-processing · lesson · pathology · pre-alpha · python · radiology
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.

  • SDC-BIDS-EEG-EEGLABcarpentries-incubator · english · lesson · pre-alpha

    Working with EEGLAB and BIDS-EEG

  • SDC-BIDS-fMRIcarpentries-incubator · english · lesson · pre-alpha

    fMRI Imaging Analysis

  • SDC-BIDS-sMRIcarpentries-incubator · english · lesson · pre-alpha

    Structural Neuroimaging Analysis in Python

  • SDC-BIDS-dMRIcarpentries-incubator · lesson · pre-alpha

    Introduction to dMRI

  • task-managementenglish · lesson · pre-alpha

    CW24 Hack Day project - Carpentries-style lesson "Task Management for Humans as Self Care"

  • SDC-BIDS-IntroMRIcarpentries-incubator · english · lesson

    Introduction to MRI and BIDS

sources
  1. api.github.com/repos/carpentries-incubator/medical-image-processing
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 5 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as CC-BY-4.0, MIT, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/28.json→ .entries["medical-image-processing"]

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