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. 2019 Aug;292(2):374-375.

doi: 10.1148/radiol.2019191154. Epub 2019 Jun 18.

Can Artificial Intelligence Fix the Reproducibility Problem of Radiomics?

Chang Min Park¹

Affiliations

Affiliation

¹ From the Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.

PMID: 31211633
DOI: 10.1148/radiol.2019191154

Comment

Can Artificial Intelligence Fix the Reproducibility Problem of Radiomics?

Chang Min Park. Radiology. 2019 Aug.

. 2019 Aug;292(2):374-375.

doi: 10.1148/radiol.2019191154. Epub 2019 Jun 18.

Author

Chang Min Park¹

Affiliation

¹ From the Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea.

PMID: 31211633
DOI: 10.1148/radiol.2019191154

No abstract available

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Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.
Choe J, Lee SM, Do KH, Lee G, Lee JG, Lee SM, Seo JB. Choe J, et al. Radiology. 2019 Aug;292(2):365-373. doi: 10.1148/radiol.2019181960. Epub 2019 Jun 18. Radiology. 2019. PMID: 31210613

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