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Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.
Wesdorp, Nina J; Zeeuw, J Michiel; Postma, Sam C J; Roor, Joran; van Waesberghe, Jan Hein T M; van den Bergh, Janneke E; Nota, Irene M; Moos, Shira; Kemna, Ruby; Vadakkumpadan, Fijoy; Ambrozic, Courtney; van Dieren, Susan; van Amerongen, Martinus J; Chapelle, Thiery; Engelbrecht, Marc R W; Gerhards, Michael F; Grunhagen, Dirk; van Gulik, Thomas M; Hermans, John J; de Jong, Koert P; Klaase, Joost M; Liem, Mike S L; van Lienden, Krijn P; Molenaar, I Quintus; Patijn, Gijs A; Rijken, Arjen M; Ruers, Theo M; Verhoef, Cornelis; de Wilt, Johannes H W; Marquering, Henk A; Stoker, Jaap; Swijnenburg, Rutger-Jan; Punt, Cornelis J A; Huiskens, Joost; Kazemier, Geert.
Afiliación
  • Wesdorp NJ; Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands. n.wesdorp@amsterdamumc.nl.
  • Zeeuw JM; Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands. j.m.zeeuw@amsterdamumc.nl.
  • Postma SCJ; Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
  • Roor J; Department of Health, SAS Institute B.V, Huizen, the Netherlands.
  • van Waesberghe JHTM; Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • van den Bergh JE; Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Nota IM; Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Moos S; Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Kemna R; Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
  • Vadakkumpadan F; Department of Computer Vision and Machine Learning, SAS Institute Inc, Cary, NC, USA.
  • Ambrozic C; Department of Computer Vision and Machine Learning, SAS Institute Inc, Cary, NC, USA.
  • van Dieren S; Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
  • van Amerongen MJ; Department of Radiology, Sint Maartenskliniek, Nijmegen, the Netherlands.
  • Chapelle T; Department of Hepatobiliary, Transplantation, and Endocrine Surgery, Antwerp University Hospital, Antwerp, Belgium.
  • Engelbrecht MRW; Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Gerhards MF; Department of Surgery, OLVG Hospital, Amsterdam, the Netherlands.
  • Grunhagen D; Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
  • van Gulik TM; Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
  • Hermans JJ; Department of Medical Imaging, Radboud University Medical Center, Radboud University Nijmegen, Nijmegen, the Netherlands.
  • de Jong KP; Department of HPB Surgery and Liver Transplantation, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Klaase JM; Department of HPB Surgery and Liver Transplantation, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Liem MSL; Department of Surgery, Medical Spectrum Twente, Enschede, the Netherlands.
  • van Lienden KP; Department of Interventional Radiology, St Antonius Hospital, Nieuwegein, the Netherlands.
  • Molenaar IQ; Department of Surgery, Regional Academic Cancer Center Utrecht, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Patijn GA; Department of Surgery, St Antonius Hospital, Nieuwegein, the Netherlands.
  • Rijken AM; Department of Surgery, Isala Hospital, Zwolle, the Netherlands.
  • Ruers TM; Department of Surgery, Amphia Hospital, Breda, the Netherlands.
  • Verhoef C; Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
  • de Wilt JHW; Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
  • Marquering HA; Department of Surgery, Radboud University Medical Center, Radboud University Nijmegen, Nijmegen, the Netherlands.
  • Stoker J; Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Swijnenburg RJ; Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Punt CJA; Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Huiskens J; Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
  • Kazemier G; Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Eur Radiol Exp ; 7(1): 75, 2023 12 01.
Article en En | MEDLINE | ID: mdl-38038829
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Aprendizaje Profundo / Neoplasias Hepáticas Límite: Humans Idioma: En Revista: Eur Radiol Exp Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Aprendizaje Profundo / Neoplasias Hepáticas Límite: Humans Idioma: En Revista: Eur Radiol Exp Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos