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Research ArticleBasic Science Investigation

Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT

Kevin H. Leung, Steven P. Rowe, Moe S. Sadaghiani, Jeffrey P. Leal, Esther Mena, Peter L. Choyke, Yong Du and Martin G. Pomper
Journal of Nuclear Medicine April 2024, 65 (4) 643-650; DOI: https://doi.org/10.2967/jnumed.123.267048
Kevin H. Leung
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland;
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Steven P. Rowe
2Department of Radiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina; and
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Moe S. Sadaghiani
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland;
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Jeffrey P. Leal
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland;
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Esther Mena
3Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
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Peter L. Choyke
3Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
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Yong Du
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland;
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Martin G. Pomper
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland;
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Journal of Nuclear Medicine: 65 (4)
Journal of Nuclear Medicine
Vol. 65, Issue 4
April 1, 2024
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Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT
Kevin H. Leung, Steven P. Rowe, Moe S. Sadaghiani, Jeffrey P. Leal, Esther Mena, Peter L. Choyke, Yong Du, Martin G. Pomper
Journal of Nuclear Medicine Apr 2024, 65 (4) 643-650; DOI: 10.2967/jnumed.123.267048

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Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT
Kevin H. Leung, Steven P. Rowe, Moe S. Sadaghiani, Jeffrey P. Leal, Esther Mena, Peter L. Choyke, Yong Du, Martin G. Pomper
Journal of Nuclear Medicine Apr 2024, 65 (4) 643-650; DOI: 10.2967/jnumed.123.267048
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Keywords

  • deep learning
  • semisupervised transfer learning
  • PET/CT
  • tumor segmentation
  • cancer prognosis
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