Advertisement

Correction to: Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists

  • Michela Antonelli
  • Edward W. Johnston
  • Nikolaos Dikaios
  • King K. Cheung
  • Harbir S. Sidhu
  • Mrishta B. Appayya
  • Francesco Giganti
  • Lucy A. M. Simmons
  • Alex Freeman
  • Clare Allen
  • Hashim U. Ahmed
  • David Atkinson
  • Sebastien Ourselin
  • Shonit PunwaniEmail author
Correction

Correction to: European Radiology (2019) 29:4754–4764

  https://doi.org/10.1007/s00330-019-06244-2

The original version of this article, published on 11 June 2019, unfortunately contained a mistake. The following correction has therefore been made in the original: In section “Multiparametric MRI review,” the readers mentioned in the first sentence were partly incorrect. The correct wording is as follows: “Mp-MRI images were qualitatively assessed on an OsiriX workstation by three board-certified radiologists independently (readers SP, MA, and FG).”

Notes

Copyright information

© European Society of Radiology 2019

Authors and Affiliations

  • Michela Antonelli
    • 1
    • 2
  • Edward W. Johnston
    • 3
  • Nikolaos Dikaios
    • 3
  • King K. Cheung
    • 3
  • Harbir S. Sidhu
    • 3
  • Mrishta B. Appayya
    • 3
  • Francesco Giganti
    • 4
    • 5
  • Lucy A. M. Simmons
    • 5
  • Alex Freeman
    • 6
  • Clare Allen
    • 4
  • Hashim U. Ahmed
    • 5
  • David Atkinson
    • 3
  • Sebastien Ourselin
    • 2
  • Shonit Punwani
    • 3
    • 4
    Email author
  1. 1.Centre for Medical Image ComputingUniversity College LondonLondonUK
  2. 2.School of Biomedical Engineering and Imaging ScienceKing’s College LondonLondonUK
  3. 3.Centre for Medical ImagingUniversity College LondonLondonUK
  4. 4.Department of RadiologyUniversity College London HospitalLondonUK
  5. 5.Division of Surgery and Interventional ScienceUniversity College LondonLondonUK
  6. 6.Department of PathologyUniversity College London HospitalLondonUK

Personalised recommendations