Deep Neural Networks for the Qualitative Analysis of Myocardial Perfusion Emission Computed Tomography Images-Reference-Cited by-同舟云学术

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Deep Neural Networks for the Qualitative Analysis of Myocardial Perfusion Emission Computed Tomography Images

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE)
language:
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Author:

Pruthipanyasakul Nareekarn¹,Kanungsukkasem Nont¹,Urruty Thierry²,Leelanupab Teerapong³

Affiliation:

1. School of Information Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL),Bangkok,Thailand,10520

2. University of Poitiers,XLIM Laboratory, UMR CNRS 7252,Poitiers,France

3. School of Electrical Engineering and Computer Science, The University of Queensland,Brisbane,QLD,Australia,4072

Funder

Health Systems Research Institute (HSRI)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317623/10317639/10317700.pdf?arnumber=10317700

Reference23 articles.

1. 5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects

2. Quantitation in gated perfusion SPECT imaging: The Cedars-Sinai approach

3. Quantitation of coronary arterial narrowing at necropsy in sudden coronary death

4. Coronary Artery Narrowing in Coronary Heart Disease: Comparison of Cineangiographic and Necropsy Findings

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