Corrigendum: Radiomic machine learning and external validation based on 3.0T mpMRI for prediction of intraductal carcinoma of prostate with different proportion
Ling Yang, Zhengyan Li, Xu Liang, Jingxu Xu, Yusen Cai, Chencui Huang, Mengni Zhang, Jin Yao, Bin Song
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
- —West China Hospital, Sichuan University 10.13039/501100013365
- —Sichuan Province Science and Technology Support Program 10.13039/100012542
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Taxonomy
TopicsRadiomics and Machine Learning in Medical Imaging · MRI in cancer diagnosis
In the published article, there was an error in the Funding statement for Science and Technology Support Program of Sichuan Province (No. 22NSFSC117). The correct Funding statement appears below.
FUNDING
This work was supported by the 135 Project for Disciplines of Excellence, West China Hospital, Sichuan University (No. ZY2017304), Science and Technology Support Program of Sichuan Province (No. 2022NSFSC0840) and the sky imaging research foundation (Z-2014-07-1912).
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.