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Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/ CT using deep learning - model performance and comparison to human experts.
Jarabek, Leon; Jamsek, Jan; Cuderman, Anka; Rep, Sebastijan; Hocevar, Marko; Kocjan, Tomaz; Jensterle, Mojca; Spiclin, Ziga; Macek Lezaic, Ziga; Cvetko, Filip; Lezaic, Luka.
Affiliation
  • Jarabek L; Department of Radiology, General Hospital Novo Mesto, Novo Mesto Slovenia.
  • Jamsek J; Department for Nuclear Medicine, University Medical Centre Ljubljana, Slovenia.
  • Cuderman A; Department for Nuclear Medicine, University Medical Centre Ljubljana, Slovenia.
  • Rep S; Department for Nuclear Medicine, University Medical Centre Ljubljana, Slovenia.
  • Hocevar M; Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia.
  • Kocjan T; Department of Surgical Oncology, Institute of Oncology, Ljubljana Slovenia.
  • Jensterle M; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Spiclin Z; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Macek Lezaic Z; Department for Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Slovenia.
  • Cvetko F; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Lezaic L; Department for Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Slovenia.
Radiol Oncol ; 56(4): 440-452, 2022 Dec 01.
Article in En | MEDLINE | ID: mdl-36503715
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Positron Emission Tomography Computed Tomography / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research Limits: Humans Language: En Journal: Radiol Oncol Year: 2022 Document type: Article
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Positron Emission Tomography Computed Tomography / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research Limits: Humans Language: En Journal: Radiol Oncol Year: 2022 Document type: Article