tensorflow / tensorflow/datasets
[data request] StructSeq
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dataset request
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
- 1
Description
- Name of dataset: StructSeg
- URL of dataset: https://structseg2019.grand-challenge.org/Home/
- License of dataset: Unknown
- Short description of dataset and use case(s):
The dataset contains two types of cancers, nasopharyngeal cancer and lung cancer, with OAR and GTV annotations. The usage is to set up tasks for evaluating automatic algorithms on segmentation of organs-at-risk (OAR) and gross target volume (GTV) of tumors of two types of cancers, nasopharynx cancer and lung cancer, for radiation therapy planning.
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
Read docs/add_dataset.md, the dataset contribution guide linked in the issue, and verify the StructSeg dataset details, especially its currently unknown license. Done means the dataset request is resolved through a contribution that follows the guide, or its suitability and licensing are clarified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100