-
1
-
-
33745255698
-
Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network
-
DOI 10.1016/j.bspc.2006.05.002, PII S1746809406000103
-
S. Chaplot, L.M. Patnaik, N.R. Jagannathan "Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network", Biomedical Signal Processing and Control, 1 (1), pp. 86-92, 2006. (Pubitemid 43923707)
-
(2006)
Biomedical Signal Processing and Control
, vol.1
, Issue.1
, pp. 86-92
-
-
Chaplot, S.1
Patnaik, L.M.2
Jagannathan, N.R.3
-
2
-
-
73849148718
-
Extension neural network approach to classification of brain MRI
-
C. M Wang, M. J. Wu, J. H. Chen, C. Y. Yu, "Extension Neural Network Approach to Classification of Brain MRI", 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp 515-517, 2009.
-
(2009)
2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
, pp. 515-517
-
-
Wang, C.M.1
Wu, M.J.2
Chen, J.H.3
Yu, C.Y.4
-
3
-
-
50649091610
-
Fuzzy classification of brain MRI using a priori knowledge: Weighted fuzzy C-means
-
O. Salvado, P. Bourgeat, O.A. Tamayo, M. Zuluaga, S. Ourselin, "Fuzzy classification of brain MRI using a priori knowledge: Weighted fuzzy C-means", Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference, pp 1-8, 2007.
-
(2007)
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference
, pp. 1-8
-
-
Salvado, O.1
Bourgeat, P.2
Tamayo, O.A.3
Zuluaga, M.4
Ourselin, S.5
-
5
-
-
34447568454
-
Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification
-
DOI 10.1016/j.neuroimage.2007.05.018, PII S1053811907004181
-
H. A. Vrooman, C. A. Cocosco, F. van der Lijn, R. Stokking, M. A. Ikram and M. W. Vernooij, M.M.B. Breteler, W. J. Niessen. "Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification", NeuroImage, vol. 37(1), pp. 71-81, 2007. (Pubitemid 47068998)
-
(2007)
NeuroImage
, vol.37
, Issue.1
, pp. 71-81
-
-
Vrooman, H.A.1
Cocosco, C.A.2
Van Der Lijn, F.3
Stokking, R.4
Ikram, M.A.5
Vernooij, M.W.6
Breteler, M.M.B.7
Niessen, W.J.8
-
6
-
-
77957232534
-
Brain MRI slices classification using least squares support vector machine
-
1
-
H.Selvaraj, S. Thamarai Selvi, D. Selvathi, L. Gewali. "Brain MRI Slices Classification Using Least Squares Support Vector Machine" International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 1, No. 1(1), Page 21-33, 2007.
-
(2007)
International Journal of Intelligent Computing in Medical Sciences and Image Processing
, vol.1
, Issue.1
, pp. 21-33
-
-
Selvaraj, H.1
Thamarai Selvi, S.2
Selvathi, D.3
Gewali, L.4
-
7
-
-
76549108474
-
Hybrid intelligent techniques for MRI brain images classification
-
E.A. El-Dahshan, T. Hosny, A. B. M. Salem "Hybrid intelligent techniques for MRI brain images classification", Digital Signal Processing, vol.20(2), pp. 433-441, 2010.
-
(2010)
Digital Signal Processing
, vol.20
, Issue.2
, pp. 433-441
-
-
El-Dahshan, E.A.1
Hosny, T.2
Salem, A.B.M.3
-
8
-
-
57649120286
-
A support vector machine based algorithm for magnetic resonance image segmentation
-
X. Du, Y. Li, D. Yao, "A Support Vector Machine Based Algorithm for Magnetic Resonance Image Segmentation," 2008 Fourth International Conference on Natural Computation (ICNC), vol. 3, pp.49-53, 2008.
-
(2008)
2008 Fourth International Conference on Natural Computation (ICNC)
, vol.3
, pp. 49-53
-
-
Du, X.1
Li, Y.2
Yao, D.3
-
9
-
-
78049502690
-
Atlas - Based segmentation of brain MR images using least square support vector machines
-
K. Kasiri, K. Kazemi, M. J. Dehghani, M. S. Helfroush, "Atlas - based segmentation of brain MR images using least square support vector machines", Image Processing Theory, Tools and Applications, pp. 306-310, 2010.
-
(2010)
Image Processing Theory, Tools and Applications
, pp. 306-310
-
-
Kasiri, K.1
Kazemi, K.2
Dehghani, M.J.3
Helfroush, M.S.4
-
10
-
-
0000448091
-
Support vector method for function approximation, regression estimation, and signal processing
-
V. Vapnik, S.E. Golowich, A. Smola, "Support vector method for function approximation, regression estimation, and signal processing", In Advances anNeural Information Processings Systems 8, 1996.
-
(1996)
Advances AnNeural Information Processings Systems
, vol.8
-
-
Vapnik, V.1
Golowich, S.E.2
Smola, A.3
-
11
-
-
2442665617
-
Credit rating analysis with support vector machines and neural networks: A market comparative study
-
Z. Huang, H. Chen, C. J. Hsu, W.H. Chen, S. Wu, "Credit rating analysis with support vector machines and neural networks: a market comparative study", Decision Support Systems, pp. 543-558, 2004.
-
(2004)
Decision Support Systems
, pp. 543-558
-
-
Huang, Z.1
Chen, H.2
Hsu, C.J.3
Chen, W.H.4
Wu, S.5
-
12
-
-
30344453065
-
A new fuzzy support vector machine to evaluate credit risk
-
DOI 10.1109/TFUZZ.2005.859320
-
Y. Wang, S. Wang, K.K. Lai, "A new fuzzy support vector machine to evaluate credit risk", Fuzzy Systems, IEEE Transactions, vol.13(6) pp. 820-831, 2005. (Pubitemid 43065965)
-
(2005)
IEEE Transactions on Fuzzy Systems
, vol.13
, Issue.6
, pp. 820-831
-
-
Wang, Y.1
Wang, S.2
Lai, K.K.3
-
13
-
-
51249106897
-
Artificial immune based support vector machine algorithm for fault diagnosis of induction motors
-
I. Aydin, M. Karakose, E. Akin, "Artificial Immune Based Support Vector Machine Algorithm for Fault Diagnosis of Induction Motors", Electrical Machines and Power Electronics, 2007. ACEMP '07. International Aegean Conference, pp. 217-221, 2007
-
(2007)
Electrical Machines and Power Electronics, 2007. ACEMP '07. International Aegean Conference
, pp. 217-221
-
-
Aydin, I.1
Karakose, M.2
Akin, E.3
-
14
-
-
77949635968
-
Multi-motor synchronous control based on fuzzy support vector machine
-
H. Deng, H. Liu, "Multi-motor synchronous control based on fuzzy support vector machine", Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference, vol. 2 pp. 60-63, 2009.
-
(2009)
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference
, vol.2
, pp. 60-63
-
-
Deng, H.1
Liu, H.2
-
15
-
-
77956141581
-
Breast cancer diagnosis from biopsy images using a fully automatic method
-
L. Liu, M. Deng, "Breast Cancer Diagnosis from Biopsy Images Using a Fully Automatic Method", Bioinformatics and Biomedical Engineering (ICBBE), 2010 4th International Conference, pp. 1-4, 2010.
-
(2010)
Bioinformatics and Biomedical Engineering (ICBBE), 2010 4th International Conference
, pp. 1-4
-
-
Liu, L.1
Deng, M.2
-
16
-
-
78650993923
-
Classifying ear disorders using support vector machines
-
M. Mahsa, M. Davarpanah, M. M. Ali, A. Mehrnaz, "Classifying ear disorders using support vector machines",Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference, vol. 1, pp. 321-324, 2010.
-
(2010)
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference
, vol.1
, pp. 321-324
-
-
Mahsa, M.1
Davarpanah, M.2
Ali, M.M.3
Mehrnaz, A.4
-
17
-
-
78549285648
-
A novel fuzzy based framework for detection of clustered microcalcification in mammograms
-
F. Sahba, A. Venetsanopoulos, "A novel fuzzy based framework for detection of clustered microcalcification in mammograms", Fuzzy Systems (FUZZ), 2010 IEEE International Conference, pp.1-6, 2010.
-
(2010)
Fuzzy Systems (FUZZ), 2010 IEEE International Conference
, pp. 1-6
-
-
Sahba, F.1
Venetsanopoulos, A.2
-
18
-
-
41449103033
-
Anatomical study of anomalous posterior horn of lateral ventricle of brain and its clinical significance
-
case report
-
Bratisl Lek Listy, Srijit D, Shipra P, "Anatomical Study Of Anomalous Posterior Horn Of Lateral Ventricle Of Brain And Its Clinical Significance", UKM Malaysia 108(9):422-424 case report 2007.
-
(2007)
UKM Malaysia
, vol.108
, Issue.9
, pp. 422-424
-
-
Listy, B.L.1
Srijit, D.2
Shipra, P.3
-
20
-
-
80052181294
-
-
Laboratory for Vision Systems, Department of Electrical and Computer Engineering, University of Texas at Austin
-
George c Panayi, Alan C Bovik and Umesh Rajashekar, "Image Processing For Everyone", Laboratory for Vision Systems, Department of Electrical and Computer Engineering, University of Texas at Austin
-
Image Processing for Everyone
-
-
Panayi, G.C.1
Bovik, A.C.2
Rajashekar, U.3
-
21
-
-
80052173816
-
-
view at 15 April 2011
-
http://www.bearcave.com/misl/misl-tech/wavelets/daubechies/index.html (view at 15 April 2011)
-
-
-
|