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

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 …

Objectives To benchmark the performance of state-of-the-art computer-aided detection
(CAD) of pulmonary nodules using the largest publicly available annotated CT database …

The purpose of this work is to describe the LUNGx Challenge for the computerized
classification of lung nodules on diagnostic computed tomography (CT) scans as benign or …

Early detection of lung nodules is extremely important for the diagnosis and clinical
management of lung cancer. In this paper, a novel computer aided detection (CAD) system …

Objectives The purpose of this study was to define clinically appropriate, computer-aided
lung nodule detection (CAD) requirements and protocols based on recent screening trials. In …

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 …

As the detection and characterization of lung nodules are of paramount importance in
thoracic radiology, various tools for making a computer-aided diagnosis (CAD) have been …

RATIONALE AND OBJECTIVES: In this study, we developed a prototype model-based
computer aided detection (CAD) system designed to automatically detect both solid and …