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Automated detection of lung nodules in CT scans: Preliminary results
Medical Physics
◽
10.1118/1.1387272
◽
2001
◽
Vol 28
(8)
◽
pp. 1552-1561
◽
Cited By ~ 170
Author(s):
Samuel G. Armato
◽
Maryellen L. Giger
◽
Heber MacMahon
Keyword(s):
Automated Detection
◽
Ct Scans
◽
Lung Nodules
◽
Preliminary Results
Download Full-text
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References
Automated detection of lung nodules in CT scans: False-positive reduction with the radial-gradient index
Medical Physics
◽
10.1118/1.2178450
◽
2006
◽
Vol 33
(4)
◽
pp. 1133-1140
◽
Cited By ~ 19
Author(s):
Arunabha S. Roy
◽
Samuel G. Armato
◽
Andrew Wilson
◽
Karen Drukker
Keyword(s):
False Positive
◽
Automated Detection
◽
Ct Scans
◽
Lung Nodules
◽
Gradient Index
◽
Radial Gradient
◽
False Positive Reduction
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Automated detection of lung nodules in CT scans: Effect of image reconstruction algorithm
Medical Physics
◽
10.1118/1.1544679
◽
2003
◽
Vol 30
(3)
◽
pp. 461-472
◽
Cited By ~ 32
Author(s):
Samuel G. Armato
◽
Michael B. Altman
◽
Patrick J. La Rivière
Keyword(s):
Image Reconstruction
◽
Reconstruction Algorithm
◽
Automated Detection
◽
Ct Scans
◽
Lung Nodules
◽
Image Reconstruction Algorithm
Download Full-text
Performance comparison of artificial neural network and logistic regression model for differentiating lung nodules on CT scans
Expert Systems with Applications
◽
10.1016/j.eswa.2012.04.001
◽
2012
◽
Vol 39
(13)
◽
pp. 11503-11509
◽
Cited By ~ 32
Author(s):
Hui Chen
◽
Jing Zhang
◽
Yan Xu
◽
Budong Chen
◽
Kuan Zhang
Keyword(s):
Neural Network
◽
Artificial Neural Network
◽
Logistic Regression
◽
Regression Model
◽
Logistic Regression Model
◽
Performance Comparison
◽
Ct Scans
◽
Lung Nodules
◽
Artificial Neural
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Automated detection of lung nodules in chest radiographs using a false-positive reduction scheme based on template matching
2012 5th International Conference on BioMedical Engineering and Informatics
◽
10.1109/bmei.2012.6512916
◽
2012
◽
Cited By ~ 2
Author(s):
Ryoichi Nagata
◽
Tsuyoshi Kawaguchi
◽
Hidetoshi Miyake
Keyword(s):
False Positive
◽
Template Matching
◽
Automated Detection
◽
Chest Radiographs
◽
Lung Nodules
◽
Reduction Scheme
◽
False Positive Reduction
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Subtraction Techniques for CT and DSA and Automated Detection of Lung Nodules in 3D CT
Computational Intelligence in Biomedical Imaging
◽
10.1007/978-1-4614-7245-2_14
◽
2013
◽
pp. 377-397
Author(s):
Takayuki Ishida
◽
Megumi Yamamoto
◽
Yasuhiko Okura
Keyword(s):
Automated Detection
◽
Lung Nodules
◽
3D Ct
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Automated Detection of Small Pulmonary Nodules in Whole Lung CT Scans
Academic Radiology
◽
10.1016/j.acra.2007.01.029
◽
2007
◽
Vol 14
(5)
◽
pp. 579-593
◽
Cited By ~ 19
Author(s):
Andinet A. Enquobahrie
◽
Anthony P. Reeves
◽
David F. Yankelevitz
◽
Claudia I. Henschke
Keyword(s):
Pulmonary Nodules
◽
Automated Detection
◽
Ct Scans
◽
Small Pulmonary Nodules
◽
Lung Ct
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3D U-net for registration of lung nodules in longitudinal CT scans
Medical Imaging 2021: Computer-Aided Diagnosis
◽
10.1117/12.2581755
◽
2021
◽
Author(s):
Aryan Ghazipour
◽
Benjamin Veasey
◽
Albert Seow
◽
Amir Amini
Keyword(s):
Ct Scans
◽
Lung Nodules
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Image Feature Analysis of False-Positive Diagnoses Produced by Automated Detection of Lung Nodules
Investigative Radiology
◽
10.1097/00004424-199208000-00006
◽
1992
◽
Vol 27
(8)
◽
pp. 587-597
◽
Cited By ~ 65
Author(s):
TSUNEO MATSUMOTO
◽
HITOSHI YOSHIMURA
◽
KUNIO DOI
◽
MARYELLEN L. GIGER
◽
AKIKO KANO
◽
...
Keyword(s):
False Positive
◽
Automated Detection
◽
Image Feature
◽
Feature Analysis
◽
Lung Nodules
Download Full-text
Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans
Medical Imaging 2018: Computer-Aided Diagnosis
◽
10.1117/12.2293699
◽
2018
◽
Cited By ~ 7
Author(s):
Sindhu Ramachandran
◽
Jose George
◽
Shibon Skaria
◽
Varun V.V.
Keyword(s):
Deep Learning
◽
Real Time
◽
Low Dose
◽
Ct Scans
◽
Lung Nodules
◽
Learning Network
◽
Low Dose Ct
◽
Real Time Detection
◽
Deep Learning Network
◽
Detection And Localization
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Development and Validation of a Modified Three-Dimensional U-Net Deep-Learning Model for Automated Detection of Lung Nodules on Chest CT Images From the Lung Image Database Consortium and Japanese Datasets
Academic Radiology
◽
10.1016/j.acra.2020.07.030
◽
2020
◽
Author(s):
Kazuhiro Suzuki
◽
Yujiro Otsuka
◽
Yukihiro Nomura
◽
Kanako K. Kumamaru
◽
Ryohei Kuwatsuru
◽
...
Keyword(s):
Deep Learning
◽
Three Dimensional
◽
Image Database
◽
Learning Model
◽
Ct Images
◽
Chest Ct
◽
Automated Detection
◽
Lung Nodules
◽
Development And Validation
◽
Deep Learning Model
Download Full-text
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