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P. D. Marco

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedApplication of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2022★ 1 cited

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models

Matteo Ferrante, Lisa Rinaldi, Francesca Botta +17

Lesion segmentation is a crucial step of the radiomic workflow. Manual segmentation requires long execution time and is prone to variability, impairing the realisation of radiomic…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.