Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging

Author:

Garcia Ernest V.,Klein J. Larry,Moncayo Valeria,Cooke C. David,Del’Aune Christian,Folks Russell,Moreiras Liudmila Verdes,Esteves Fabio

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference25 articles.

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3. Hamilton D, Riley PJ, Miola UJ, Amro AA. A feed forward neural network for classification of bull’s-eye myocardial perfusion images. Eur J Nucl Med. 1995;22:108–15.

4. Lindahl D, Lanke J, Lundin A, Palmer J, Edenbradt L. Improved classifications of myocardial bull’s-eye scintigrams with computer-based decision support system. J Nucl Med. 1999;40:96–101.

5. Haddad M, Adlassnig KP, Porenta G. Feasibility analysis of a case-based reasoning system for automated detection of coronary heart disease from myocardial scintigrams. Artif Intell Med. 1997;9:61–78.

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