DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Fedorov, Andrey; Hancock, Matthew C.; Clunie, David A.; Brochhausen, Mathias; Bona, Jonathan P.; Kirby, Justin; Freymann, John; Pieper, Steve; Aerts, Hugo J.W.L.; Kikinis, Ron; Prior, Fred

doi:10.1002/mp.14806

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2020

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“…In “DICOM Re‐encoding of Volumetrically Annotated Lung Imaging Data Consortium (LIDC) Nodules” by Fedorov et al 12 describe annotations for lung nodules from 875 of the subjects collected by the Lung Imaging Data Consortium and Image Database Resource Initiative (LIDC) converted into standard DICOM objects to simplify reuse of the data with the readily available open‐source tools, and to improve adherence to FAIR (Findable, Accessible, Interoperable, Reusable) principles 13 …”

Section: Introductionmentioning

confidence: 99%