A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning

Y Gu, J Chi, J Liu, L Yang, B Zhang, D Yu… - Computers in biology …, 2021 - Elsevier
Lung cancer has one of the highest mortalities of all cancers. According to the National Lung
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …

Lung cancer screening, version 3.2018, NCCN clinical practice guidelines in oncology

DE Wood, EA Kazerooni, SL Baum, GA Eapen… - Journal of the National …, 2018 - jnccn.org
Lung cancer is the leading cause of cancer-related mortality in the United States and
worldwide. Early detection of lung cancer is an important opportunity for decreasing …

Medical image data augmentation: techniques, comparisons and interpretations

E Goceri - Artificial Intelligence Review, 2023 - Springer
Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …

Guidelines for management of incidental pulmonary nodules detected on CT images: from the Fleischner Society 2017

H MacMahon, DP Naidich, JM Goo, KS Lee… - Radiology, 2017 - pubs.rsna.org
The Fleischner Society Guidelines for management of solid nodules were published in
2005, and separate guidelines for subsolid nodules were issued in 2013. Since then, new …

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

AAA Setio, A Traverso, T De Bel, MSN Berens… - Medical image …, 2017 - Elsevier
Automatic detection of pulmonary nodules in thoracic computed tomography (CT) scans has
been an active area of research for the last two decades. However, there have only been …

Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks

AAA Setio, F Ciompi, G Litjens, P Gerke… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
We propose a novel Computer-Aided Detection (CAD) system for pulmonary nodules using
multi-view convolutional networks (ConvNets), for which discriminative features are …

[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 …

Probability of cancer in pulmonary nodules detected on first screening CT

A McWilliams, MC Tammemagi, JR Mayo… - New England journal …, 2013 - Mass Medical Soc
Background Major issues in the implementation of screening for lung cancer by means of
low-dose computed tomography (CT) are the definition of a positive result and the …

Evaluation of individuals with pulmonary nodules: When is it lung cancer?: Diagnosis and management of lung cancer: American College of Chest Physicians …

MK Gould, J Donington, WR Lynch, PJ Mazzone… - Chest, 2013 - Elsevier
Objectives The objective of this article is to update previous evidence-based
recommendations for evaluation and management of individuals with solid pulmonary …

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 …