[HTML][HTML] The IASLC lung cancer staging project: proposals for coding T categories for subsolid nodules and assessment of tumor size in part-solid tumors in the …

WD Travis, H Asamura, AA Bankier, MB Beasley… - Journal of Thoracic …, 2016 - Elsevier
This article proposes codes for the primary tumor categories of adenocarcinoma in situ (AIS)
and minimally invasive adenocarcinoma (MIA) and a uniform way to measure tumor size in …

Segmentation and image analysis of abnormal lungs at CT: current approaches, challenges, and future trends

A Mansoor, U Bagci, B Foster, Z Xu, GZ Papadakis… - Radiographics, 2015 - pubs.rsna.org
The computer-based process of identifying the boundaries of lung from surrounding thoracic
tissue on computed tomographic (CT) images, which is called segmentation, is a vital first …

Recommendations for measuring pulmonary nodules at CT: a statement from the Fleischner Society

AA Bankier, H MacMahon, JM Goo, GD Rubin… - Radiology, 2017 - pubs.rsna.org
These recommendations for measuring pulmonary nodules at computed tomography (CT)
are a statement from the Fleischner Society and, as such, incorporate the opinions of a …

Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening

N Horeweg, J van Rosmalen, MA Heuvelmans… - The Lancet …, 2014 - thelancet.com
Background The main challenge in CT screening for lung cancer is the high prevalence of
pulmonary nodules and the relatively low incidence of lung cancer. Management protocols …

The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans

SG Armato III, G McLennan, L Bidaut… - Medical …, 2011 - Wiley Online Library
Purpose: The development of computer‐aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …

[HTML][HTML] Imaging and cancer: a review

L Fass - Molecular oncology, 2008 - Elsevier
Multiple biomedical imaging techniques are used in all phases of cancer management.
Imaging forms an essential part of cancer clinical protocols and is able to furnish …

Computer‐aided diagnosis systems for lung cancer: challenges and methodologies

A El-Baz, GM Beache, G Gimel′ farb… - … journal of biomedical …, 2013 - Wiley Online Library
This paper overviews one of the most important, interesting, and challenging problems in
oncology, the problem of lung cancer diagnosis. Develo** an effective computer-aided …

A new computationally efficient CAD system for pulmonary nodule detection in CT imagery

T Messay, RC Hardie, SK Rogers - Medical image analysis, 2010 - Elsevier
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 …

Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence

A Hagiwara, S Fujita, Y Ohno, S Aoki - Investigative radiology, 2020 - journals.lww.com
Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …

Anniversary Paper: History and status of CAD and quantitative image analysis: The role of Medical Physics and AAPM

ML Giger, HP Chan, J Boone - Medical physics, 2008 - Wiley Online Library
The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …