Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer - Université Paris-Est-Créteil-Val-de-Marne
Journal Articles European Radiology Year : 2020

Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer

Paul Blanc-Durand
Luca Campedel
  • Function : Author
Sébastien Mule
  • Function : Author
Simon Jegou
  • Function : Author
Alain Luciani
  • Function : Author
Frédéric Pigneur
  • Function : Author
Emmanuel Itti
  • Function : Author
IMRB - SMCD/"Senescence, Metabolism and Cardiovascular Diseases" [Créteil]

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Life Sciences [q-bio]

Suzain Naushad  : Connect in order to contact the contributor

https://hal.u-pec.fr/hal-04395636

Submitted on : Monday, January 15, 2024-4:32:54 PM

Last modification on : Tuesday, January 16, 2024-3:19:56 AM

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hal-04395636 , version 1 (15-01-2024)

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Paul Blanc-Durand, Luca Campedel, Sébastien Mule, Simon Jegou, Alain Luciani, et al.. Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer. European Radiology, 2020, 30 (6), pp.3528-3537. ⟨10.1007/s00330-019-06630-w⟩. ⟨hal-04395636⟩

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