DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
Medical Physics2020Vol. 47(11), pp. 5953–5965
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Andriy Fedorov, Matthew C. Hancock, David Clunie, Mathias Brochhausen, Jonathan P. Bona, Justin Kirby, John Freymann, Steve Pieper, Hugo J.W.L. Aerts, Ron Kikinis, Fred Prior
Abstract
The standardized dataset maintains the content of the original contribution of the LIDC-IDRI consortium, and should be helpful in developing automated tools for characterization of lung lesions and image phenotyping. In addition to those properties, the representation of the present dataset makes it more FAIR (Findable, Accessible, Interoperable, Reusable) for the research community, and enables its integration with other standardized data collections.
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