Myocardial tissue characterization using pattern recognition procedures on backs cattered ultrasonic signals

1986 ◽  
Vol 8 (3) ◽  
pp. 181-195 ◽  
Author(s):  
R Dyer
1986 ◽  
Vol 8 (3) ◽  
pp. 181-195
Author(s):  
R.A.G. Dyer ◽  
S.A. Dyer ◽  
P.K. Bhagat

Pattern recognition techniques were applied to backscattered signals obtained in vitro from normal and abnormal canine and human heart samples. Orthogonal transforms, in conjunction with the variance criterion, comprised the feature extractors. The minimum-distance (MD) and nearest-neighbor (NN) rules were used as classifiers. When the MD rule was used, the magnitude of the DFT gave the best performance for both canine and human samples. When the NN rule was used, all the transforms performed comparably. The classification performances were improved for both species when the NN rule was used with feature extractors containing phase information.


Author(s):  
Martina Perazzolo Marra ◽  
Alberto Cipriani ◽  
Stefania Rizzo ◽  
Manuel De Lazzari ◽  
Monica De Gaspari ◽  
...  

2001 ◽  
Vol 14 (7) ◽  
pp. 682-690 ◽  
Author(s):  
Xianyi Yu ◽  
Ikuo Hashimoto ◽  
Fukiko Ichida ◽  
Yuji Hamamichi ◽  
Kei-ichiro Uese ◽  
...  

2010 ◽  
Vol 23 (10) ◽  
pp. 1067-1070 ◽  
Author(s):  
Vitantonio Di Bello ◽  
Cuono Cucco ◽  
Cristina Giannini ◽  
Maria Grazia Delle Donne

CHEST Journal ◽  
2001 ◽  
Vol 120 (1) ◽  
pp. 233-239 ◽  
Author(s):  
George E. Kochiadakis ◽  
Stavros I. Chrysostomakis ◽  
Michael D. Kalebubas ◽  
George M. Filippidis ◽  
Ioannis G. Zacharakis ◽  
...  

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