Dual-Tree Complex Wavelet Transform and Twin Support Vector Machine for Pathological Brain Detection

@inproceedings{Wang2016DualTreeCW,
  title={Dual-Tree Complex Wavelet Transform and Twin Support Vector Machine for Pathological Brain Detection},
  author={Shuihua Wang and Siyuan Lu and Zhengchao Dong and Jiquan Yang and Ming Yang and Yudong Zhang},
  year={2016}
}
(Aim) Classification of brain images as pathological or healthy case is a key pre-clinical step for potential patients. Manual classification is irreproducible and unreliable. In this study, we aim to develop an automatic classification system of brain images in magnetic resonance imaging (MRI). (Method) Three datasets were downloaded from the Internet. Those images are of T2-weighted along axial plane with size of 256 ˆ 256. We utilized an s-level decomposition on the basis of dual-tree… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 40 extracted citations

An improved extreme learning machine for pathological brain detection

TENCON 2017 - 2017 IEEE Region 10 Conference • 2017
View 6 Excerpts
Highly Influenced

Alcoholism Detection by Wavelet Entropy and Support Vector Machine Trained by Genetic Algorithm

2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) • 2018

Breast Cancer Detection Via Wavelet Energy and Support Vector Machine

2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) • 2018

Pathological Brain Detection

Brain Informatics and Health • 2018
View 4 Excerpts

References

Publications referenced by this paper.
Showing 1-10 of 65 references

Preclinical diagnosis of magnetic resonance (MR) brain images via discrete wavelet packet transform with Tsallis entropy and generalized eigenvalue proximal support vector machine (GEPSVM)

Z. Dong, G. Ji, J. Yang
Entropy 2015, • 2015
View 6 Excerpts
Highly Influenced

The Whole Brain Atlas. Available online: http://www.med.harvard.edu/ AANLIB/home.html (accessed on 1 March 2016)

K. A. Johnson, J. A. Becker
2016
View 3 Excerpts
Highly Influenced

Magnetic resonance brain image classification via stationary wavelet transform and generalized eigenvalue proximal support vector machine

Z. Dong, A. Liu, +3 authors J. Yang
J. Med. Imaging Health Inform. 2015, • 2015
View 4 Excerpts
Highly Influenced

Numerical Methods and Applications in Biomechanical Modeling

Comp. Math. Methods in Medicine • 2013
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…