Diagnosis of cardiac problems from SPECT images by feedforward networks

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.