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DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules.
Medical Physics ( IF 3.2 ) Pub Date : 2020-08-09 , DOI: 10.1002/mp.14445
Andrey Fedorov 1 , Matthew Hancock 2 , David Clunie 3 , Mathias Brochhausen 4 , Jonathan Bona 5 , Justin Kirby 6 , John Freymann 6 , Steve Pieper 7 , Hugo J W L Aerts 1 , Ron Kikinis 1 , Fred Prior 5
Affiliation  

The dataset contains annotations for lung nodules collected by the Lung Imaging Data Consortium and Image Database Resource Initiative (LIDC) stored as standard DICOM objects. The annotations accompany a collection of computed tomography (CT) scans for over 1000 subjects annotated by multiple expert readers, and correspond to “nodules ≥ 3 mm”, defined as any lesion considered to be a nodule with greatest in‐plane dimension in the range 3–30 mm regardless of presumed histology. The present dataset aims to simplify reuse of the data with the readily available tools, and is targeted towards researchers interested in the analysis of lung CT images.

中文翻译:


体积注释肺成像数据库联盟 (LIDC) 结节的 DICOM 重新编码。



该数据集包含由肺成像数据联盟和图像数据库资源计划 (LIDC) 收集的肺结节注释,并存储为标准 DICOM 对象。这些注释附有由多名专家读者注释的超过 1000 名受试者的计算机断层扫描 (CT) 扫描集合,对应于“结节 ≥ 3 毫米”,定义为被认为是该范围内平面内尺寸最大的结节的任何病变3–30 mm,无论假定的组织学如何。本数据集旨在通过现成的工具简化数据的重复使用,并针对对肺部 CT 图像分析感兴趣的研究人员。
更新日期:2020-08-09
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