Nature Communications 5: Article number: 4006 (2014); Published: 3 June 2014; Updated: 7 August 2014.
The original version of this Article contained a typographical error in the spelling of the author Sara Carvalho, which was incorrectly given as Sara Cavalho. This has now been corrected in both the PDF and HTML versions of the Article.
Additional information
The online version of the original article can be found at 10.1038/ncomms5006
Rights and permissions
About this article
Cite this article
Aerts, H., Velazquez, E., Leijenaar, R. et al. Correction: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5, 4644 (2014). https://doi.org/10.1038/ncomms5644
Published:
DOI: https://doi.org/10.1038/ncomms5644
This article is cited by
-
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19
Scientific Reports (2023)
-
Intelligent diagnosis of bladder cancer with limited MRI data
Journal of Ambient Intelligence and Humanized Computing (2023)
-
MRI radiomics independent of clinical baseline characteristics and neoadjuvant treatment modalities predicts response to neoadjuvant therapy in rectal cancer
British Journal of Cancer (2022)
-
A survey on lung CT datasets and research trends
Research on Biomedical Engineering (2021)
-
Radiomics-based model using gadoxetic acid disodium-enhanced MR images: associations with recurrence-free survival of patients with hepatocellular carcinoma treated by surgical resection
Abdominal Radiology (2021)
