Your browser doesn't support javascript.
loading
Deep learning-based quantification of PET/CT prostate gland uptake: association with overall survival.
Polymeri, Eirini; Sadik, May; Kaboteh, Reza; Borrelli, Pablo; Enqvist, Olof; Ulén, Johannes; Ohlsson, Mattias; Trägårdh, Elin; Poulsen, Mads H; Simonsen, Jane A; Hoilund-Carlsen, Poul Flemming; Johnsson, Åse A; Edenbrandt, Lars.
Afiliación
  • Polymeri E; Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Sadik M; Department of Radiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Kaboteh R; Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Borrelli P; Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Enqvist O; Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Ulén J; Department of Electrical Engineering, Region Västra Götaland, Chalmers University of Technology, Gothenburg, Sweden.
  • Ohlsson M; Eigenvision AB, Malmö, Sweden.
  • Trägårdh E; School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Centre for Applied Intelligent Systems Research, Halmstad University, Halmstad, Sweden.
  • Poulsen MH; Department of Translational Medicine, Institute of Clinical Sciences, Lund University, Malmö, Sweden.
  • Simonsen JA; Department of Urology, Odense University Hospital, Odense, Denmark.
  • Hoilund-Carlsen PF; Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.
  • Johnsson ÅA; Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.
  • Edenbrandt L; Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Clin Physiol Funct Imaging ; 40(2): 106-113, 2020 Mar.
Article en En | MEDLINE | ID: mdl-31794112
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Radioisótopos de Flúor / Interpretación de Imagen Asistida por Computador / Colina / Tomografía Computarizada por Tomografía de Emisión de Positrones Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: Clin Physiol Funct Imaging Asunto de la revista: FISIOLOGIA / PATOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Suecia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Radioisótopos de Flúor / Interpretación de Imagen Asistida por Computador / Colina / Tomografía Computarizada por Tomografía de Emisión de Positrones Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: Clin Physiol Funct Imaging Asunto de la revista: FISIOLOGIA / PATOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Suecia Pais de publicación: Reino Unido