Automated detection of lung nodules in computed tomography images: a review

SLA Lee, AZ Kouzani, EJ Hu - Machine vision and applications, 2012 - Springer
Lung nodules refer to a range of lung abnormalities the detection of which can facilitate early
treatment for lung patients. Lung nodules can be detected by radiologists through examining …

Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study

B Van Ginneken, SG Armato III, B de Hoop… - Medical image …, 2010 - Elsevier
Numerous publications and commercial systems are available that deal with automatic
detection of pulmonary nodules in thoracic computed tomography scans, but a comparative …

Automated pulmonary nodule detection based on three-dimensional shape-based feature descriptor

WJ Choi, TS Choi - Computer methods and programs in biomedicine, 2014 - Elsevier
Computer-aided detection (CAD) can help radiologists to detect pulmonary nodules at an
early stage. In pulmonary nodule CAD systems, feature extraction is very important for …

Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images

WJ Choi, TS Choi - Information Sciences, 2012 - Elsevier
An effective automated pulmonary nodule detection system can assist radiologists in
detecting lung abnormalities at an early stage. In this paper, we propose a novel pulmonary …

Attention-embedded complementary-stream CNN for false positive reduction in pulmonary nodule detection

L Sun, Z Wang, H Pu, G Yuan, L Guo, T Pu… - Computers in Biology and …, 2021 - Elsevier
False positive reduction plays a key role in computer-aided detection systems for pulmonary
nodule detection in computed tomography (CT) scans. However, this remains a challenge …

[HTML][HTML] Methodology for automatic detection of lung nodules in computerized tomography images

JRF da Silva Sousa, AC Silva, AC de Paiva… - Computer methods and …, 2010 - Elsevier
Lung cancer is a disease with significant prevalence in several countries around the world.
Its difficult treatment and rapid progression make the mortality rates among people affected …

Automatic detection of pulmonary nodules in CT images by incorporating 3D tensor filtering with local image feature analysis

J Gong, J Liu, L Wang, X Sun, B Zheng, S Nie - Physica Medica, 2018 - Elsevier
Computer-aided detection (CAD) technology has been developed and demonstrated its
potential to assist radiologists in detecting pulmonary nodules especially at an early stage …

A novel multithreshold method for nodule detection in lung CT

B Golosio, GL Masala, A Piccioli, P Oliva… - Medical …, 2009 - Wiley Online Library
Multislice computed tomography (MSCT) is a valuable tool for lung cancer detection, thanks
to its ability to identify noncalcified nodules of small size (from about 3 mm). Due to the large …

Automated lung cancer diagnosis using three-dimensional convolutional neural networks

G Perez, P Arbelaez - Medical & Biological Engineering & Computing, 2020 - Springer
Lung cancer is the deadliest cancer worldwide. It has been shown that early detection using
low-dose computer tomography (LDCT) scans can reduce deaths caused by this disease …

[PDF][PDF] A review on computer aided detection and diagnosis of lung cancer nodules

SS Parveen, C Kavitha - International Journal of Computers & Technology, 2012 - Citeseer
In this paper, a attempt has been made to summarize some of the information about CAD
and CADx for the purpose of early detection and diagnosis of lung cancer. Computer Aided …