Lung nodule detection in low-dose and thin-slice computed tomography

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2008.02.001 ◽

2008 ◽

Vol 38 (4) ◽

pp. 525-534 ◽

Author(s):

A. Retico ◽

P. Delogu ◽

M.E. Fantacci ◽

I. Gori ◽

A. Preite Martinez

Keyword(s):

Computed Tomography ◽

Low Dose ◽

Lung Nodule ◽

Lung Nodule Detection ◽

Nodule Detection

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An automated system for lung nodule detection in low-dose computed tomography

10.1117/12.709642 ◽

2007 ◽

Author(s):

I. Gori ◽

M. E. Fantacci ◽

A. Preite Martinez ◽

A. Retico

Keyword(s):

Computed Tomography ◽

Low Dose ◽

Lung Nodule ◽

Automated System ◽

Lung Nodule Detection ◽

Nodule Detection ◽

Low Dose Computed Tomography

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Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis

European Journal of Radiology ◽

10.1016/j.ejrad.2015.03.012 ◽

2015 ◽

Vol 84 (7) ◽

pp. 1401-1412 ◽

Author(s):

Yukihiro Nagatani ◽

Masashi Takahashi ◽

Kiyoshi Murata ◽

Mitsuru Ikeda ◽

Tsuneo Yamashiro ◽

...

Keyword(s):

Computed Tomography ◽

Operating Characteristic ◽

Low Dose ◽

Receiver Operating Characteristic Analysis ◽

Lung Nodule ◽

Three Dimensional ◽

Characteristic Analysis ◽

Low Dose Ct ◽

Lung Nodule Detection ◽

Nodule Detection

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Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program1

Academic Radiology ◽

10.1016/j.acra.2004.10.061 ◽

2005 ◽

Vol 12 (3) ◽

pp. 337-346 ◽

Author(s):

Samuel G. Armato ◽

Arunabha S. Roy ◽

Heber MacMahon ◽

Feng Li ◽

Kunio Doi ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Cancer Screening ◽

Low Dose ◽

Lung Nodule ◽

Lung Cancer Screening ◽

Lung Nodule Detection ◽

Nodule Detection ◽

Computed Tomography Scans ◽

Low Dose Computed Tomography

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Lung nodule detection in a high-risk population: Comparison of magnetic resonance imaging and low-dose computed tomography

European Journal of Radiology ◽

10.1016/j.ejrad.2013.11.012 ◽

2014 ◽

Vol 83 (3) ◽

pp. 600-605 ◽

Author(s):

Gregor Sommer ◽

Jan Tremper ◽

Marcel Koenigkam-Santos ◽

Stefan Delorme ◽

Nikolaus Becker ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Computed Tomography ◽

Low Dose ◽

Lung Nodule ◽

High Risk Population ◽

Resonance Imaging ◽

Lung Nodule Detection ◽

Population Comparison ◽

Nodule Detection ◽

Low Dose Computed Tomography

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Automatic lung nodule detection system using image processing techniques in computed tomography

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2019.101659 ◽

2020 ◽

Vol 56 ◽

pp. 101659 ◽

Author(s):

Chung-Feng Jeffrey Kuo ◽

Chang-Chiun Huang ◽

Jing-Jhong Siao ◽

Chia-Wen Hsieh ◽

Vu Quang Huy ◽

...

Keyword(s):

Computed Tomography ◽

Image Processing ◽

Detection System ◽

Lung Nodule ◽

Image Processing Techniques ◽

Lung Nodule Detection ◽

Nodule Detection ◽

Processing Techniques

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Experiments on Sensitivity of Template Matching for Lung Nodule Detection in Low Dose CT Scans

2007 IEEE International Symposium on Signal Processing and Information Technology ◽

10.1109/isspit.2007.4458213 ◽

2007 ◽

Author(s):

Shireen Y Elhabian ◽

Hossam Abd el Munim ◽

Salwa Elshazly ◽

AlyA. Farag ◽

Mohamed Aboelghar

Keyword(s):

Template Matching ◽

Low Dose ◽

Lung Nodule ◽

Ct Scans ◽

Low Dose Ct ◽

Lung Nodule Detection ◽

Nodule Detection

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Lung Nodule Detection in Computed Tomography: A Review

Medical Case Reports ◽

10.21767/2471-8041.100099 ◽

2018 ◽

Vol 04 (02) ◽

Author(s):

Youngseob Seo

Keyword(s):

Computed Tomography ◽

Lung Nodule ◽

Lung Nodule Detection ◽

Nodule Detection

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An Automatic Computerized Model for Cancerous Lung Nodule Detection from Computed Tomography Images with Reduced False Positives

Communications in Computer and Information Science - Recent Trends in Image Processing and Pattern Recognition ◽

10.1007/978-981-10-4859-3_31 ◽

2017 ◽

pp. 343-355 ◽

Author(s):

Senthilkumar Krishnamurthy ◽

Ganesh Narasimhan ◽

Umamaheswari Rengasamy

Keyword(s):

Computed Tomography ◽

Lung Nodule ◽

False Positives ◽

Lung Nodule Detection ◽

Computed Tomography Images ◽

Nodule Detection

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End-to-End Lung Nodule Detection in Computed Tomography

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00919-9_5 ◽

2018 ◽

pp. 37-45 ◽

Author(s):

Dufan Wu ◽

Kyungsang Kim ◽

Bin Dong ◽

Georges El Fakhri ◽

Quanzheng Li

Keyword(s):

Computed Tomography ◽

Lung Nodule ◽

Lung Nodule Detection ◽

Nodule Detection ◽

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Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography

PLoS ONE ◽

10.1371/journal.pone.0210551 ◽

2019 ◽

Vol 14 (1) ◽

pp. e0210551 ◽

Author(s):

Yu Gu ◽

Xiaoqi Lu ◽

Baohua Zhang ◽

Ying Zhao ◽

Dahua Yu ◽

...

Keyword(s):

Computed Tomography ◽

Support Vector Machines ◽

Lung Nodule ◽

Support Vector ◽

Chest Computed Tomography ◽

Multi Scale ◽

Lung Nodule Detection ◽

Vector Machines ◽

Nodule Detection

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