The purpose of this study was to develop a computer-based method for automatic detection
and localization of coronary artery disease (CAD) in myocardial bull's-eye scintigrams …

Background. Artificial neural networks have successfully been applied for automated
interpretation of myocardial perfusion images. So far the networks have used data from the …

In a recent study, artificial neural networks were trained to detect coronary artery disease
using scintigraphic data as input. The performance of the networks was better than that of …

Purpose We have recently presented a decision support system for interpreting myocardial
perfusion scintigraphy (MPS). In this study, we wanted to evaluate the system in a separate …

Background The purpose of this study is to develop and analyze an open-source artificial
intelligence program built on artificial neural networks that can participate in and support the …

This multi-layer feed-forward neural network with a backpropagation algorithm has 256 input
units (pattern: compressed 16 x 16-matrix images), 5-140 units in a single hidden layer, and …

Artificial neural networks are systems of elementary computing units capable of learning
from examples. They have been applied to automated interpretation of myocardial perfusion …

Objectives The patient-based diagnosis with an artificial neural network (ANN) has shown
potential utility for the detection of coronary artery disease; however, the region-based …

Artificial neural networks are computer programs that learn from examples. They have been
successfully used to detect coronary artery disease from myocardial perfusion images. The …

We investigated feasibility of using fuzzy clustering and artificial neural network to predict
coronary artery disease (CAD) in acute phase from planar and gated SPECT nuclear …