Abstract
The artificial neural network (ANN) is a non-algorithmic parallel processing device modeled after human cerebral architecture. ANNs can be readily simulated on a digital computer and have the potential for significant diagnostic application in both image- and non-image-based medical diagnosis. This paper briefly discusses the operation of ANNs, differences between these and more traditional problem solving methods, and some diagnostic imaging problems amenable to their application. © 2004 Elsevier Inc. All rights reserved.
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Scott, J. A. (2004). Artificial neural networks and image interpretation: A ghost in the machine. Seminars in Ultrasound, CT and MRI, 25(5), 396–403. https://doi.org/10.1053/j.sult.2004.02.005
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