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
Feedforward neural network
Feed forward
Single-photon emission computed tomography
Computer science
Artificial neural network
Artificial intelligence
Work (physics)
Pattern recognition (psychology)
Physics
Nuclear medicine
Engineering
Medicine
Control engineering
Subject Areas
AI in cancer detection
·Artificial Intelligence ·Physical Sciences
Engineering Technology and Methodologies
·Industrial and Manufacturing Engineering ·Physical Sciences
ECG Monitoring and Analysis
·Cardiology and Cardiovascular Medicine ·Health Sciences
Citations by Year
2019: 1
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