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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 …
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
Lung cancer screening, version 3.2018, NCCN clinical practice guidelines in oncology
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 …
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 …
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
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 …
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
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 …
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
We propose a novel Computer-Aided Detection (CAD) system for pulmonary nodules using
multi-view convolutional networks (ConvNets), for which discriminative features are …
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 …
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 …
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 evaluation and management of individuals with solid pulmonary …
Recommendations for measuring pulmonary nodules at CT: a statement from the Fleischner Society
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 …
are a statement from the Fleischner Society and, as such, incorporate the opinions of a …