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 ◽

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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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 ◽

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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False-Positive Reduction on Lung Nodules Detection in Chest Radiographs by Ensemble of Convolutional Neural Networks

IEEE Access ◽

10.1109/access.2018.2817023 ◽

2018 ◽

Vol 6 ◽

pp. 16060-16067 ◽

Author(s):

Chaofeng Li ◽

Guoce Zhu ◽

Xiaojun Wu ◽

Yuanquan Wang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

False Positive ◽

Chest Radiographs ◽

Lung Nodules ◽

False Positive Reduction

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Computerized Detection of Lung Nodules with an Enhanced False Positive Reduction Scheme

2006 International Conference on Image Processing ◽

10.1109/icip.2006.313144 ◽

2006 ◽

Author(s):

Negar Memarian ◽

Javad Alirezaie ◽

Paul Babyn

Keyword(s):

False Positive ◽

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 ◽

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 ◽

Author(s):

TSUNEO MATSUMOTO ◽

HITOSHI YOSHIMURA ◽

KUNIO DOI ◽

MARYELLEN L. GIGER ◽

AKIKO KANO ◽

...

Keyword(s):

False Positive ◽

Automated Detection ◽

Image Feature ◽

Feature Analysis ◽

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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 ◽

Author(s):

Guo Cao ◽

Yazhou Liu ◽

Kenji Suzuki

Keyword(s):

False Positive ◽

Ct Images ◽

Lung Nodules ◽

False Positive Reduction

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

10.1117/12.878793 ◽

2011 ◽

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 ◽

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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False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network1

Academic Radiology ◽

10.1016/j.acra.2004.11.017 ◽

2005 ◽

Vol 12 (2) ◽

pp. 191-201 ◽

Author(s):

Kenji Suzuki ◽

Junji Shiraishi ◽

Hiroyuki Abe ◽

Heber MacMahon ◽

Kunio Doi

Keyword(s):

False Positive ◽

Chest Radiographs ◽

False Positive Reduction ◽

Computer Aided ◽

Artificial Neural

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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 ◽

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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