RATIONALE AND OBJECTIVES: The purpose of this study was to analyze the variability of
experienced thoracic radiologists in the identification of lung nodules on computed …

Purpose: The development of computer‐aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …

RATIONALE AND OBJECTIVES: The Lung Image Database Consortium (LIDC) is
developing a publicly available database of thoracic computed tomography (CT) scans as a …

PURPOSE: The Lung Image Database Consortium (LIDC) was created by the National
Cancer Institute to create a public database of annotated thoracic computed tomography …

RATIONALE AND OBJECTIVES: The goal was to investigate the effects of choosing
between different metrics in estimating the size of pulmonary nodules as a factor both of …

RATIONALE AND OBJECTIVES: Studies that evaluate the lung nodule–detection
performance of radiologists or computerized methods depend on an initial inventory of the …

RATIONALE AND OBJECTIVES: Computer-aided diagnostic (CAD) systems fundamentally
require the opinions of expert human observers to establish “truth” for algorithm …

RATIONALE AND OBJECTIVES: Integral to the mission of the National Institutes of Health–
sponsored Lung Imaging Database Consortium is the accurate definition of the spatial …

Rationale and Objectives The Lung Image Database Consortium (LIDC) and Image
Database Resource Initiative (IDRI) is the largest publicly available computed tomography …

To stimulate the advancement of computer-aided diagnostic (CAD) research for lung
nodules in thoracic computed tomography (CT), the National Cancer Institute launched a …