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Journal of Nuclear Medicine

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Predicting Recurrence of Urinary Tract Infection in Paediatric Patients by Deep Learning Analysis of Tc-99m DMSA Renal Scan using Convolutional Neural Network

Hyunjong Lee, Beongwoo Yoo, Minki Baek and Joon Young Choi
Journal of Nuclear Medicine August 2022, 63 (supplement 2) 3214;
Hyunjong Lee
1Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
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Beongwoo Yoo
1Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
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Minki Baek
1Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
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Joon Young Choi
1Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
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Article Information

vol. 63 no. supplement 2 3214

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online August 8, 2022.

Copyright & Usage 
© 2022

Author Information

  1. Hyunjong Lee,
  2. Beongwoo Yoo,
  3. Minki Baek and
  4. Joon Young Choi
  1. 1Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine

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Journal of Nuclear Medicine
Vol. 63, Issue supplement 2
August 1, 2022
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Predicting Recurrence of Urinary Tract Infection in Paediatric Patients by Deep Learning Analysis of Tc-99m DMSA Renal Scan using Convolutional Neural Network
Hyunjong Lee, Beongwoo Yoo, Minki Baek, Joon Young Choi
Journal of Nuclear Medicine Aug 2022, 63 (supplement 2) 3214;

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Predicting Recurrence of Urinary Tract Infection in Paediatric Patients by Deep Learning Analysis of Tc-99m DMSA Renal Scan using Convolutional Neural Network
Hyunjong Lee, Beongwoo Yoo, Minki Baek, Joon Young Choi
Journal of Nuclear Medicine Aug 2022, 63 (supplement 2) 3214;
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