Automated detection of lung nodules in CT scans: False-positive reduction with the radial-gradient index

Arunabha S. Roy; Samuel G. Armato; Andrew Wilson; Karen Drukker

doi:10.1118/1.2178450

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 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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Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted features

10.1117/12.2253995 ◽

2017 ◽

Cited By ~ 3

Author(s):

Ling Fu ◽

Jingchen Ma ◽

Yacheng Ren ◽

Youn Seon Han ◽

Jun Zhao

Keyword(s):

Neural Networks ◽

False Positive ◽

Automatic Detection ◽

Lung Nodules ◽

Convolution Neural Networks ◽

False Positive Reduction

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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

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A new method for false-positive reduction in detection of lung nodules in CT images

2014 19th International Conference on Digital Signal Processing ◽

10.1109/icdsp.2014.6900710 ◽

2014 ◽

Cited By ~ 2

Author(s):

Guo Cao ◽

Yazhou Liu ◽

Kenji Suzuki

Keyword(s):

False Positive ◽

Ct Images ◽

New Method ◽

Lung Nodules ◽

False Positive Reduction

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Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans

Lecture Notes in Computer Science - Analysis of Images, Social Networks and Texts ◽

10.1007/978-3-030-72610-2_15 ◽

2021 ◽

pp. 201-215

Author(s):

Ivan Drokin ◽

Elena Ericheva

Keyword(s):

Deep Learning ◽

False Positive ◽

Point Clouds ◽

Chest Ct ◽

Ct Scans ◽

False Positive Reduction ◽

Nodule Detection

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Automated detection of pulmonary nodules in CT: false positive reduction by combining multiple classifiers

10.1117/12.878793 ◽

2011 ◽

Cited By ~ 5

Author(s):

Jorge Juan Suárez-Cuenca ◽

Wei Guo ◽

Qiang Li

Keyword(s):

False Positive ◽

Pulmonary Nodules ◽

Automated Detection ◽

Multiple Classifiers ◽

False Positive Reduction

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Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique

Medical Physics ◽

10.1118/1.4948498 ◽

2016 ◽

Vol 43 (6Part1) ◽

pp. 2821-2827 ◽

Cited By ~ 91

Author(s):

Atsushi Teramoto ◽

Hiroshi Fujita ◽

Osamu Yamamuro ◽

Tsuneo Tamaki

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

False Positive ◽

Pulmonary Nodules ◽

Ct Images ◽

Automated Detection ◽

Pet Ct ◽

False Positive Reduction

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Automated detection of retinal nerve fiber layer defects on fundus images: false positive reduction based on vessel likelihood

10.1117/12.2216662 ◽

2016 ◽

Cited By ~ 3

Author(s):

Chisako Muramatsu ◽

Kyoko Ishida ◽

Akira Sawada ◽

Yuji Hatanaka ◽

Tetsuya Yamamoto ◽

...

Keyword(s):

Nerve Fiber ◽

Retinal Nerve Fiber Layer ◽

False Positive ◽

Automated Detection ◽

Fundus Images ◽

Fiber Layer ◽

Nerve Fiber Layer ◽

False Positive Reduction ◽

Retinal Nerve Fiber

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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

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Computer-Aided Detection of Lung Nodules with Fuzzy Min-Max Neural Network for False Positive Reduction

2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics ◽

10.1109/ihmsc.2014.24 ◽

2014 ◽

Cited By ~ 3

Author(s):

Zhiwei Zhai ◽

Daifeng Shi ◽

Yuanzhi Cheng ◽

Haoyan Guo

Keyword(s):

Neural Network ◽

False Positive ◽

Lung Nodules ◽

Computer Aided Detection ◽

False Positive Reduction ◽

Computer Aided

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