DocumentCode
3481094
Title
Diagnosis of cardiac problems from SPECT images by feedforward networks
Author
Bakirci, O. ; Yildirim, Tulay
Author_Institution
Yildiz Teknik Universitesi, Istanbul, Turkey
fYear
2004
fDate
28-30 April 2004
Firstpage
103
Lastpage
105
Abstract
In this work, the performance of the feedforward networks on myocardial diagnosis using SPECT (single photon emission computed tomography) images is investigated. Results of the work shows that feedforward artificial neural networks reached 100% accuracy on diagnosis while machine learning algorithms have achieved maximum 90.4% accuracy up to now.
Keywords
cardiology; feedforward neural nets; medical image processing; single photon emission computed tomography; SPECT images; cardiac problems; feedforward artificial neural networks; myocardial diagnosis; performance; single photon emission computed tomography; Feedforward neural networks; Ischemic pain; Machine learning algorithms; Multi-layer neural network; Myocardium; Neural networks; Positron emission tomography; Single photon emission computed tomography; Testing; Virtual colonoscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN
0-7803-8318-4
Type
conf
DOI
10.1109/SIU.2004.1338268
Filename
1338268
Link To Document