open access

Vol 7, No 1 (2004)
Reviews
Published online: 2004-01-22
Submitted: 2012-01-23
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Artificial neural networks in nuclear medicine

Dariusz Świetlik, Tomasz Bandurski, Piotr Lass
Nucl. Med. Rev 2004;7(1):59-67.

open access

Vol 7, No 1 (2004)
Reviews
Published online: 2004-01-22
Submitted: 2012-01-23

Abstract

An analysis of the accessible literature on the diagnostic applicability of artificial neural networks in coronary artery disease and pulmonary embolism appears to be comparative to the diagnosis of experienced doctors dealing with nuclear medicine. Differences in the employed models of artificial neural networks indicate a constant search for the most optimal parameters, which could guarantee the ultimate accuracy in neural network activity. The diagnostic potential within systems containing artificial neural networks proves this calculation tool to be an independent or/and an additional device for supporting a doctor’s diagnosis of artery disease and pulmonary embolism.

Abstract

An analysis of the accessible literature on the diagnostic applicability of artificial neural networks in coronary artery disease and pulmonary embolism appears to be comparative to the diagnosis of experienced doctors dealing with nuclear medicine. Differences in the employed models of artificial neural networks indicate a constant search for the most optimal parameters, which could guarantee the ultimate accuracy in neural network activity. The diagnostic potential within systems containing artificial neural networks proves this calculation tool to be an independent or/and an additional device for supporting a doctor’s diagnosis of artery disease and pulmonary embolism.
Get Citation
About this article
Title

Artificial neural networks in nuclear medicine

Journal

Nuclear Medicine Review

Issue

Vol 7, No 1 (2004)

Pages

59-67

Published online

2004-01-22

Bibliographic record

Nucl. Med. Rev 2004;7(1):59-67.

Authors

Dariusz Świetlik
Tomasz Bandurski
Piotr Lass

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