Datasets:
Note
Note: This dataset is subject to a customized license. Original CT images are not redistributed here; please refer to the official download link (below).
Supplementary segmentation annotations from our project are provided here. Users are expected to respect the intended use and restrictions of the original dataset license.
The mapping between our segmentation files and the original images can be found below.
License
Customized license:
The downloaded data or any data derived from it may not be given or redistributed to anyone outside the registered team. Data may only be used for preparing an entry to be submitted on the LOLA11 challenge website, and may not be used for other scientific studies or for training/developing other algorithms, including those in commercial products.
The organizers do not claim ownership or rights to algorithms or uploaded documents, and do not intend to restrict the publication of methods using the LOLA11 data.
Citation
Paper BibTeX:
@misc{lola11,
author = "{Eva van Rikxoort and Bram van Ginneken and Sjoerd Kerkstra}",
title = "{LObe and Lung Analysis 2011 (LOLA11)}",
year = "2011",
howpublished = "\url{https://lola11.grand-challenge.org/}",
}
Dataset description
LOLA11 aims to evaluate the performance of lung and lobe segmentation methods for chest CT scans using a common reference standard. The dataset contains chest CT scans with varying pathologies, enabling fair and consistent comparison of algorithms under identical evaluation criteria. Initially launched in 2011, LOLA11 continues to run on grand-challenge.org with automated evaluation, and new teams are welcome to submit results at any time.
Challenge homepage: https://lola11.grand-challenge.org/Home/
Number of CT volumes: 55
Contrast: -
CT body coverage: Chest
Does the dataset include any ground truth annotations?: Yes
Original GT annotation targets: Lung lobes
Number of annotated CT volumes: -
Annotator: -
Acquisition centers: -
Pathology/Disease: Various pathologies and abnormalities
Original dataset download link: https://zenodo.org/records/4708800
Original dataset format: .mha
ID mapping:
Our segmentation files follow the naming convention lola11-**.
The original Zenodo images also follow the naming convention lola11-**.
Each segmentation file matches directly to the image file with the same ID.