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.
Published in:
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Date of Conference: 28-30 April 2004