[data request] MICCAI 2020 RibFrac Challenge

• Name of dataset: MICCAI 2020 RibFrac Challenge
• URL of dataset: https://ribfrac.grand-challenge.org/dataset/
• License of dataset: Creative Commons Attribution-NonCommercial 4.0 International License
• Short description of dataset and use case(s):
  This challenge establishes a large-scale benchmark dataset
  to automatically detect and classify around 5,000 rib fractures
  from 660 computed tomography (CT) scans, which consists of
  420 training CTs (all with fractures), 80 validation CTs (20
  without fractures) and 160 evaluation CTs. Each annotation
  consists of a pixel-level mask of rib fracture regions (for serving
  detection), plus a 4-type classification.

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.

Start with docs/add_dataset.md and review the MICCAI 2020 RibFrac Challenge dataset at the linked challenge URL. Follow the contribution guide to determine the required dataset definition and checks; the work is done when the dataset is integrated into TensorFlow Datasets and can be used through the repository's normal dataset interface.