The lung image database consortium (LIDC): Ensuring the integrity of expert-defined “truth”

SG Armato, RY Roberts, MF McNitt-Gray, CR Meyer… - Academic radiology, 2007 - Elsevier
RATIONALE AND OBJECTIVES: Computer-aided diagnostic (CAD) systems fundamentally
require the opinions of expert human observers to establish “truth” for algorithm …

OpenSourcePACS: an extensible infrastructure for medical image management

AAT Bui, C Morioka, JDN Dionisio… - IEEE Transactions …, 2007 - ieeexplore.ieee.org
The development of comprehensive picture archive and communication systems (PACS)
has mainly been limited to proprietary developments by vendors, though a number of freely …

DNA Methylation as a Cancer‐Specific Biomarker: From Molecules to Populations

A Patel, JD Groopman, A Umar - … of the New York Academy of …, 2003 - Wiley Online Library
Cancer contributes to a large proportion of the mortality and morbidity in the United States
and worldwide. Despite advances in diagnosis and treatment of various cancers, early …

Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error

MF McNitt-Gray, LM Bidaut, SG Armato III… - Translational …, 2009 - Elsevier
Abstract RATIONALE AND OBJECTIVES: This article describes issues and methods that are
specific to the measurement of change in tumor volume as measured from computed …

Sharing images

MW Vannier, RM Summers - Radiology, 2003 - pubs.rsna.org
The NIH developed a statement on data sharing (effective February 26, 2003) to express the
expectation and support of the timely release and sharing of final research data from NIH …

[PDF][PDF] A pause, progress, and reassessment in lung cancer screening

M Unger - New England Journal of Medicine, 2006 - researchgate.net
A troublesome problem in screening for lung cancer is the definition of a “high-risk”
population—the population that could best benefit from lung cancer screening. The I-ELCAP …

A survey on lung CT datasets and research trends

RV Adiraju, S Elias - Research on Biomedical Engineering, 2021 - Springer
Purpose Lung cancer is the most dangerous of all forms of cancer and it has the highest
occurrence rate, world over. Early detection of lung cancer is a difficult task. Medical images …

A general model for finite-sample effects in training and testing of competing classifiers

SV Beiden, MA Maloof… - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
The conventional wisdom in the field of statistical pattern recognition (SPR) is that the size of
the finite test sample dominates the variance in the assessment of the performance of a …

A novel approach to nodule feature optimization on thin section thoracic CT

R Samala, W Moreno, Y You, W Qian - Academic radiology, 2009 - Elsevier
RATIONALE AND OBJECTIVES: An analysis for the optimum selection of image features in
feature domain to represent lung nodules was performed, with implementation into a …

Medical image archives—present and future

MW Vannier, EV Staab, LC Clarke - … and Surgery: Proceedings of the 16 th …, 2002 - Springer
Repositories, data warehouses, public archives, and multimedia databases, especially
those containing images, are important for clinical practice, education, and research in …