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Meeting ReportPhysics, Instrumentation & Data Sciences

Automatic classification of myocardial 18-FDG uptake patterns using deep learning

Nicholas Josselyn, Matthew MacLean, Benjamin Fuchs, Paco Bravo and Walter Witschey
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 525;
Nicholas Josselyn
1Radiology University of Pennsylvania Philadelphia PA United States
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Matthew MacLean
1Radiology University of Pennsylvania Philadelphia PA United States
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Benjamin Fuchs
1Radiology University of Pennsylvania Philadelphia PA United States
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Paco Bravo
1Radiology University of Pennsylvania Philadelphia PA United States
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Walter Witschey
1Radiology University of Pennsylvania Philadelphia PA United States
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Article Information

vol. 61 no. supplement 1 525

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online May 15, 2020.

Copyright & Usage 
© 2020

Author Information

  1. Nicholas Josselyn1,
  2. Matthew MacLean1,
  3. Benjamin Fuchs1,
  4. Paco Bravo1 and
  5. Walter Witschey1
  1. 1Radiology University of Pennsylvania Philadelphia PA United States

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Journal of Nuclear Medicine
Vol. 61, Issue supplement 1
May 1, 2020
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Automatic classification of myocardial 18-FDG uptake patterns using deep learning
Nicholas Josselyn, Matthew MacLean, Benjamin Fuchs, Paco Bravo, Walter Witschey
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 525;

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Automatic classification of myocardial 18-FDG uptake patterns using deep learning
Nicholas Josselyn, Matthew MacLean, Benjamin Fuchs, Paco Bravo, Walter Witschey
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 525;
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