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Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time.
Jing, Xueping; Wielema, Mirjam; Cornelissen, Ludo J; van Gent, Margo; Iwema, Willie M; Zheng, Sunyi; Sijens, Paul E; Oudkerk, Matthijs; Dorrius, Monique D; van Ooijen, Peter M A.
Affiliation
  • Jing X; Department of Radiation Oncology, and Data Science Center in Health (DASH), Machine Learning Lab, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands. x.jing@umcg.nl.
  • Wielema M; Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • Cornelissen LJ; Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • van Gent M; Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • Iwema WM; Faculty of Medical Sciences, University of Groningen, Antonius Deusinglaan 1, 9713, AV, Groningen, The Netherlands.
  • Zheng S; Department of Radiation Oncology, and Data Science Center in Health (DASH), Machine Learning Lab, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • Sijens PE; Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • Oudkerk M; Faculty of Medical Sciences, University of Groningen and Institute of Diagnostic Accuracy, Wiersmastraat 5, 9713, GH, Groningen, The Netherlands.
  • Dorrius MD; Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • van Ooijen PMA; Department of Radiation Oncology, and Data Science Center in Health (DASH), Machine Learning Lab, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
Eur Radiol ; 32(12): 8706-8715, 2022 Dec.
Article in En | MEDLINE | ID: mdl-35614363
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Deep Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Female / Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2022 Document type: Article Affiliation country: Países Bajos
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Deep Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Female / Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2022 Document type: Article Affiliation country: Países Bajos