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

ABSTRACT:

Purpose

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.

Acquisition and validation methods

Open source tools were utilized to parse the project-specific XML representation of LIDC-

SUBMITTER: Fedorov A 

PROVIDER: S-EPMC7721965 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature