Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT-Reference-Cited by-同舟云学术

Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT

Published:2018-10-09 Issue:2 Volume:33 Page:86-92
ISSN:0914-7187
Container-title:Annals of Nuclear Medicine
language:en
Short-container-title:Ann Nucl Med

Author:

Shibutani Takayuki,Nakajima Kenichi,Wakabayashi Hiroshi,Mori Hiroshi,Matsuo Shinro,Yoneyama Hiroto,Konishi Takahiro,Okuda Koichi,Onoguchi Masahisa,Kinuya Seigo

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/article/10.1007/s12149-018-1306-4/fulltext.html

Reference26 articles.

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3. Klocke FJ, Baird MG, Lorell BH, Bateman TM, Messer JV, Berman DS, et al. ACC/AHA/ASNC guidelines for the clinical use of cardiac radionuclide imaging—executive summary: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (ACC/AHA/ASNC Committee to revise the 1995 guidelines for the clinical use of cardiac radionuclide imaging). J Am Coll Cardiol. 2003;42:1318–33.

4. Golub RJ, Ahlberg AW, McClellan JR, Herman SD, Travin MI, Mather JF, et al. Interpretive reproducibility of stress Tc-99m sestamibi tomographic myocardial perfusion imaging. J Nucl Cardiol. 1999;6:257–69.

5. Danias PG, Ahlberg AW, Travin MI, Mahr NC, Abreu JE, Marini D, et al. Visual assessment of left ventricular perfusion and function with electrocardiography-gated SPECT has high intraobserver and interobserver reproducibility among experienced nuclear cardiologists and cardiology trainees. J Nucl Cardiol. 2002;9:263–70.

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