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Correction: Applications of radiomics‑based analysis pipeline for predicting epidermal growth factor receptor mutation status
BioMedical Engineering OnLine volume 22, Article number: 32 (2023)
The Original Article was published on 21 February 2023
Correction : BioMedical Engineering OnLine (2023) 22:17 https://doi.org/10.1186/s12938-022-01049-9
Following publication of the original article [1], the affiliation for the author’s Tianyou Zhang, Liying Lin, Fenghua Long, Hongyu Guo has been updated and shown below:
Zefeng Liu1, Tianyou Zhang2, Liying Lin3, Fenghua Long4, Hongyu Guo4* and Li Han4,5*
1Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, People’s Republic of China
2First Central Clinical College, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, People’s Republic of China
3Department of Radiology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300041, People’s Republic of China
4School of Medical Imaging, Tianjin Medical University, 9‑307, Guangdong Rd. #1, Hexi, Tianjin 300203, People’s Republic of China
5Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, USA
The original article has been corrected.
Reference
Liu Z, Zhang T, Lin L, Long F, Guo H, Han L. Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status. Biomed Eng Online. 2023;22:17. https://doi.org/10.1186/s12938-022-01049-9.
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Liu, Z., Zhang, T., Lin, L. et al. Correction: Applications of radiomics‑based analysis pipeline for predicting epidermal growth factor receptor mutation status. BioMed Eng OnLine 22, 32 (2023). https://doi.org/10.1186/s12938-023-01095-x
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DOI: https://doi.org/10.1186/s12938-023-01095-x