Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2019 May 16;9:7668. doi: 10.1038/s41598-019-43989-8

Author Correction: Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Eirini Arvaniti 1,5,#, Kim S Fricker 2,#, Michael Moret 1, Niels Rupp 2, Thomas Hermanns 3, Christian Fankhauser 3, Norbert Wey 2, Peter J Wild 2,4, Jan H Rüschoff 2,, Manfred Claassen 1,5,
PMCID: PMC6520401  PMID: 31092857

Correction to: Scientific Reports 10.1038/s41598-018-30535-1, published online 13 August 2018

This Article contains an error in the Discussion section.

“The low-risk and intermediate-risk groups defined by the model’s predictions were more significantly separated compared to the sfirst study where deep learning-based predictions are used for survival analysis in a prostate cancer cohort.”

should read:

“The low-risk and intermediate-risk groups defined by the model’s predictions were more significantly separated compared to the corresponding groups defined by either pathologist’s annotations. To our knowledge, this is the first study where deep learning-based predictions are used for survival analysis in a prostate cancer cohort.”

Contributor Information

Jan H. Rüschoff, Email: JanHendrik.Rueschoff@usz.ch

Manfred Claassen, Email: claassen@imsb.biol.ethz.ch.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES