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Journal of Nuclear Medicine

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Meeting ReportInstrumentation & Data Analysis

Artificial intelligence based SPECT attenuation correction. Feasibility study and performance evaluation on clinical SPECT images.

Melinda Szoliková, Ákos Kovács, Nóra Mészáros, Ildiko Garai, Ferenc Nagy and Sandor Barna
Journal of Nuclear Medicine June 2023, 64 (supplement 1) T40;
Melinda Szoliková
1Mediso Ltd.
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Ákos Kovács
1Mediso Ltd.
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Nóra Mészáros
1Mediso Ltd.
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Ildiko Garai
2ScanoMed Nuclear Medicine Centers
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Ferenc Nagy
2ScanoMed Nuclear Medicine Centers
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Sandor Barna
2ScanoMed Nuclear Medicine Centers
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Article Information

vol. 64 no. supplement 1 T40

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online August 28, 2023.

Copyright & Usage 
© 2023

Author Information

  1. Melinda Szoliková,
  2. Ákos Kovács1,
  3. Nóra Mészáros1,
  4. Ildiko Garai2,
  5. Ferenc Nagy2 and
  6. Sandor Barna2
  1. 1Mediso Ltd.
  2. 2ScanoMed Nuclear Medicine Centers

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Journal of Nuclear Medicine
Vol. 64, Issue supplement 1
June 1, 2023
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Artificial intelligence based SPECT attenuation correction. Feasibility study and performance evaluation on clinical SPECT images.
Melinda Szoliková, Ákos Kovács, Nóra Mészáros, Ildiko Garai, Ferenc Nagy, Sandor Barna
Journal of Nuclear Medicine Jun 2023, 64 (supplement 1) T40;

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Artificial intelligence based SPECT attenuation correction. Feasibility study and performance evaluation on clinical SPECT images.
Melinda Szoliková, Ákos Kovács, Nóra Mészáros, Ildiko Garai, Ferenc Nagy, Sandor Barna
Journal of Nuclear Medicine Jun 2023, 64 (supplement 1) T40;
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