Artificial neural networks and image interpretation: a ghost in the machine.
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-imagebased 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.
Scott
James A
JA
Division of Nuclear Medicine, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
D006801:Humans; D016571:Neural Networks, Computer; D011655:Pulmonary Embolism / Q000000981:diagnostic imaging; D011857:Radiographic Image Interpretation, Computer-Assisted; D011871:Radiology / Q000379:methods*