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Open Access

Correction

Correction: Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features

  • Malte Grosser,
  • Susanne Gellißen,
  • Patrick Borchert,
  • Jan Sedlacik,
  • Jawed Nawabi,
  • Jens Fiehler,
  • Nils Daniel Forkert

The image for S1 Fig, “Shapley value decomposition maps,” does not appear. Please view the complete S1 Fig here.

Supporting information

S1 Fig. Shapley value decomposition maps.

Shapley value decomposition maps of the predictions from the best XGB models incorporating DWI and PWI (setting 7; rows 1–2), DWI, PWI, and MNI coordinates (setting 3; rows 3–4), DWI, PWI and LP (setting 7; rows 5–6).

https://doi.org/10.1371/journal.pone.0230653.s001

(TIF)

Reference

  1. 1. Grosser M, Gellißen S, Borchert P, Sedlacik J, Nawabi J, Fiehler J, et al. (2020) Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features. PLoS ONE 15(1): e0228113. https://doi.org/10.1371/journal.pone.0228113 pmid:31978179

Citation: Grosser M, Gellißen S, Borchert P, Sedlacik J, Nawabi J, Fiehler J, et al. (2020) Correction: Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features. PLoS ONE 15(3): e0230653. https://doi.org/10.1371/journal.pone.0230653

Published: March 12, 2020

Copyright: © 2020 Grosser et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.