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Meeting ReportOncology, Clinical Diagnosis Track

Deep learning algorithms for automated assessment of total and cancerous prostate gland volume based on PET/CT

Pablo Borrelli, Mike Mortensen, Olof Enqvist, Johannes Ulen, Mads Poulsen, Elin Tragardh, Poul Flemming Hoilund-Carlsen and Lars Edenbrandt
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 1493;
Pablo Borrelli
7Sahlgrenska University Hospital Sahlgrenska University Hospital Gothenburg Sweden
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Mike Mortensen
8Odense University Hospital Urology Odense Denmark
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Olof Enqvist
3Department of Electrical Engineering, Chalmers University of Technology Gothenburg Sweden
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Johannes Ulen
4Eigenvision AB Malmö Sweden
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Mads Poulsen
6Odense University Hosptial Odense Denmark
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Elin Tragardh
1Malmo Sweden
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Poul Flemming Hoilund-Carlsen
5Odense University Hospital Odense C, Funen Denmark
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Lars Edenbrandt
2Clinical Physiology and Nuclear Medicine Gothenburg Sweden
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Article Information

vol. 59 no. supplement 1 1493

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online May 23, 2018.

Copyright & Usage 
© 2018

Author Information

  1. Pablo Borrelli7,
  2. Mike Mortensen8,
  3. Olof Enqvist3,
  4. Johannes Ulen4,
  5. Mads Poulsen6,
  6. Elin Tragardh1,
  7. Poul Flemming Hoilund-Carlsen5 and
  8. Lars Edenbrandt2
  1. 1Malmo Sweden
  2. 2Clinical Physiology and Nuclear Medicine Gothenburg Sweden
  3. 3Department of Electrical Engineering, Chalmers University of Technology Gothenburg Sweden
  4. 4Eigenvision AB Malmö Sweden
  5. 5Odense University Hospital Odense C, Funen Denmark
  6. 6Odense University Hosptial Odense Denmark
  7. 7Sahlgrenska University Hospital Sahlgrenska University Hospital Gothenburg Sweden
  8. 8Odense University Hospital Urology Odense Denmark

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Journal of Nuclear Medicine
Vol. 59, Issue supplement 1
May 1, 2018
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Deep learning algorithms for automated assessment of total and cancerous prostate gland volume based on PET/CT
Pablo Borrelli, Mike Mortensen, Olof Enqvist, Johannes Ulen, Mads Poulsen, Elin Tragardh, Poul Flemming Hoilund-Carlsen, Lars Edenbrandt
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 1493;

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Deep learning algorithms for automated assessment of total and cancerous prostate gland volume based on PET/CT
Pablo Borrelli, Mike Mortensen, Olof Enqvist, Johannes Ulen, Mads Poulsen, Elin Tragardh, Poul Flemming Hoilund-Carlsen, Lars Edenbrandt
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 1493;
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Oncology, Clinical Diagnosis Track

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