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

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Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1432-1084
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists ; volume:29 ; number:9 ; day:11 ; month:6 ; year:2019 ; pages:4754-4764 ; date:9.2019
European radiology ; 29, Heft 9 (11.6.2019), 4754-4764, 9.2019

Creator
Antonelli, Michela
Johnston, Edward W.
Dikaios, Nikolaos
Cheung, King K.
Sidhu, Harbir S.
Appayya, Mrishta B.
Giganti, Francesco
Simmons, Lucy A. M.
Freeman, Alex
Allen, Clare
Ahmed, Hashim U.
Atkinson, David
Ourselin, Sebastien
Punwani, Shonit
Contributor
SpringerLink (Online service)

DOI
10.1007/s00330-019-06244-2
URN
urn:nbn:de:101:1-2020041818072780704694
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:50 AM CEST

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Associated

  • Antonelli, Michela
  • Johnston, Edward W.
  • Dikaios, Nikolaos
  • Cheung, King K.
  • Sidhu, Harbir S.
  • Appayya, Mrishta B.
  • Giganti, Francesco
  • Simmons, Lucy A. M.
  • Freeman, Alex
  • Allen, Clare
  • Ahmed, Hashim U.
  • Atkinson, David
  • Ourselin, Sebastien
  • Punwani, Shonit
  • SpringerLink (Online service)

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