Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?

Trieu-Nghi Hoang-Thi (1) , Maria Vakalopoulou (2, 3) , Stergios Christodoulidis (3) , Nikos Paragios (4) , Marie-Pierre Revel (1) , Guillaume Chassagnon (5, 1)

1 UFR Médecine UPCité - UFR Médecine [Santé] - Université Paris Cité
2 OPIS - OPtimisation Imagerie et Santé
3 MICS - Mathématiques et Informatique pour la Complexité et les Systèmes
4 TheraPanacea [Paris]
5 Hôpital Cochin [AP-HP]

Domaines: Imagerie médicale; Intelligence artificielle [cs.AI]

Trieu-Nghi Hoang-Thi, Maria Vakalopoulou, Stergios Christodoulidis, Nikos Paragios, Marie-Pierre Revel, et al.. Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?. Diagnostic and Interventional Imaging, 2021, 102 (11), pp.691-695. ⟨10.1016/j.diii.2021.10.001⟩. ⟨hal-03539082⟩