Lung nodule classification in frequency domain using support vector machines

2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) ◽

10.1109/isspa.2012.6310676 ◽

2012 ◽

Cited By ~ 11

Author(s):

Hiram Madero Orozco ◽

Osslan Osiris Vergara Villegas ◽

Leticia Ortega Maynez ◽

Vianey Guadalupe Cruz Sanchez ◽

Humberto de Jesus Ochoa Dominguez

Keyword(s):

Support Vector Machines ◽

Frequency Domain ◽

Lung Nodule ◽

Support Vector ◽

Vector Machines ◽

Nodule Classification

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Lung nodule classification utilizing support vector machines

Proceedings International Conference on Image Processing ICIP-02 ◽

10.1109/icip.2002.1038927 ◽

2003 ◽

Cited By ~ 12

Author(s):

W.A.H. Mousa ◽

M.A.U. Khan

Keyword(s):

Support Vector Machines ◽

Lung Nodule ◽

Support Vector ◽

Vector Machines ◽

Nodule Classification

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Lung Nodule Classification in CT Thorax Images Using Support Vector Machines

2013 12th Mexican International Conference on Artificial Intelligence ◽

10.1109/micai.2013.38 ◽

2013 ◽

Cited By ~ 12

Author(s):

Hiram Madero Orozco ◽

Osslan Osiris Vergara Villegas ◽

Humberto de Jesus Ochoa Dominguez ◽

Vianey Guadalupe Cruz Sanchez

Keyword(s):

Support Vector Machines ◽

Lung Nodule ◽

Support Vector ◽

Vector Machines ◽

Nodule Classification

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False positive reduction for lung nodule CAD using support vector machines and genetic algorithms

International Congress Series ◽

10.1016/j.ics.2005.03.061 ◽

2005 ◽

Vol 1281 ◽

pp. 1109-1114 ◽

Cited By ~ 9

Author(s):

Luyin Zhao ◽

Lilla Boroczky ◽

K.P. Lee

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

False Positive ◽

Lung Nodule ◽

Support Vector ◽

False Positive Reduction ◽

Vector Machines

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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 ◽

Cited By ~ 7

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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Frequency-domain least-squares support vector machines to deal with correlated errors when identifying linear time-varying systems

IFAC Proceedings Volumes ◽

10.3182/20140824-6-za-1003.00119 ◽

2014 ◽

Vol 47 (3) ◽

pp. 10024-10029 ◽

Cited By ~ 1

Author(s):

J. Lataire ◽

D. Piga ◽

R. Tóth

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Frequency Domain ◽

Linear Time ◽

Support Vector ◽

Time Varying ◽

Correlated Errors ◽

Vector Machines ◽

Time Varying Systems

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Condition Diagnosis for Rotating Machinery Using Support Vector Machines and Symptom Parameters in Frequency Domain

2011 Fourth International Conference on Intelligent Computation Technology and Automation ◽

10.1109/icicta.2011.26 ◽

2011 ◽

Author(s):

Hongtao Xue ◽

Peng Chen

Keyword(s):

Support Vector Machines ◽

Frequency Domain ◽

Rotating Machinery ◽

Support Vector ◽

Vector Machines ◽

Condition Diagnosis

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Illumination Tolerant Face Recognition Using Phase-Only Support Vector Machines in the Frequency Domain

Pattern Recognition and Image Analysis - Lecture Notes in Computer Science ◽

10.1007/11552499_8 ◽

2005 ◽

pp. 66-73 ◽

Cited By ~ 3

Author(s):

Jingu Heo ◽

Marios Savvides ◽

B. V. K. Vijayakumar

Keyword(s):

Face Recognition ◽

Support Vector Machines ◽

Frequency Domain ◽

Support Vector ◽

Vector Machines

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EEG-Based Emotion Recognition Using Frequency Domain Features and Support Vector Machines

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24955-6_87 ◽

2011 ◽

pp. 734-743 ◽

Cited By ~ 61

Author(s):

Xiao-Wei Wang ◽

Dan Nie ◽

Bao-Liang Lu

Keyword(s):

Support Vector Machines ◽

Emotion Recognition ◽

Frequency Domain ◽

Support Vector ◽

Vector Machines

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Learning to Generate Optimized Term Weighting for Web Documents Classification - A Parallel Mimetic Approach Based on Support Vector Machines

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i12.10964 ◽

2016 ◽

Vol 11 (12) ◽

pp. 1147

Author(s):

Abderrahmane Bendahmane ◽

Abdelkader Benyettou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Term Weighting ◽

Web Documents ◽

Vector Machines

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Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00236 ◽

2010 ◽

Vol 30 (1) ◽

pp. 236-239 ◽

Cited By ~ 1

Author(s):

Liang XU

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Support Vector Machines ◽

Chemical Process ◽

Least Square ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Feature Extraction ◽

Nonlinear Feature

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