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Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models.

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Title: Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models.
Authors: Ferrante, Matteo1 (AUTHOR), Rinaldi, Lisa2 (AUTHOR), Botta, Francesca1 (AUTHOR) francesca.botta@ieo.it, Hu, Xiaobin3 (AUTHOR), Dolp, Andreas3 (AUTHOR), Minotti, Marta4 (AUTHOR), De Piano, Francesca4 (AUTHOR), Funicelli, Gianluigi4 (AUTHOR), Volpe, Stefania5,6 (AUTHOR), Bellerba, Federica7 (AUTHOR), De Marco, Paolo1 (AUTHOR), Raimondi, Sara7 (AUTHOR), Rizzo, Stefania8,9 (AUTHOR), Shi, Kuangyu10,11 (AUTHOR), Cremonesi, Marta2 (AUTHOR), Jereczek-Fossa, Barbara A.5,6 (AUTHOR), Spaggiari, Lorenzo6,12 (AUTHOR), De Marinis, Filippo13 (AUTHOR), Orecchia, Roberto4,14 (AUTHOR), Origgi, Daniela1 (AUTHOR)
Source: Journal of Clinical Medicine. Dec2022, Vol. 11 Issue 24, p7334. 17p.
Database: Academic Search Ultimate
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  Data: Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+Medicine%22">Journal of Clinical Medicine</searchLink>. Dec2022, Vol. 11 Issue 24, p7334. 17p.
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              Text: Dec2022
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