Correction to: Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks

Correction to: European Radiology

https://doi.org/10.1007/s00330-020-07147-3

The original version of this article, published on 18 September 2020, unfortunately contained a mistake. The following correction has therefore been made in the original: The presentation of the second equation in paragraph “Training details” and of Table 2 was incorrect; the corrected equation and table are given below. The original article has been corrected.

Table 2 Evaluation for the fivefold cross-validation runs (stated as mean overall runs) and ensemble predictions on the test set. AC, abdominal cavity; B, bones; M, muscle; ST, subcutaneous tissue; TC, thoracic cavity

$$ {\mathbbm{L}}_{\mathrm{Dice}}=1.0-\frac{1}{C-1}\cdot \sum \limits_{c=2}^C\frac{\sum \limits_{n=1}^N2\cdot {\hat{y}}_{c,n}\cdot {y}_{c,n}+\in }{\sum \limits_{n=1}^N{\hat{y}}_{c,n}+{y}_{c,n}+\in } $$