tensorflow / tensorflow/datasets
[data request] fastMRI
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Nobody has claimed this yet.
dataset request
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
- 1
Description
- Name of dataset: fastMRI
- URL of dataset: http://fastmri.org/dataset
- License of dataset: No clue. "Interested scientists may apply for access to fastMRI data for the purposes of internal research or education only."
- Short description of dataset and use case(s): The anonymized imaging dataset provided by NYU Langone comprises raw k-space data from more than 1,500 fully sampled knee MRIs obtained on 3 and 1.5 Tesla magnets and DICOM images from 10,000 clinical knee MRIs also obtained at 3 or 1.5 Tesla. Dataset would be used to improve traditional MRI reconstruction algorithms by using ML.
Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.
And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with docs/add_dataset.md and review the fastMRI dataset page to verify access and licensing requirements. Determine whether the dataset can be contributed under TFDS requirements; done would mean a concrete contribution is scoped and the dataset is supported, or the request is closed with the reason documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100