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Nous utilisons des techniques d’apprentissage profond pour délimiter les poumons et les arbres vasculaires malgré les variations de contraste dues aux conditions pathologiques
Publications associées
Penarrubia L., Verstraete A., Orkisz M., Dávila Serrano E.E., Boussel L., Yonis H., Mezidi M., Dhelft F., Danjou W., Bazzani A., Sigaud F., Bayat S., Terzi N., Girard M., Bitker L., Roux E., and Richard J.-C., "Precision of CT-derived alveolar recruitment assessed by human observers and a machine learning algorithm in moderate and severe ARDS ", Intensive Care Medicine Experimental, 2023, 11, 8. DOI: 10.1186/s40635-023-00495-6.
Penarrubia L., et al. “Improving motion-mask segmentation in thoracic CT with multi-planar U-nets”, Medical Physics, 49, 420-431, 2022, DOI: 10.1002/mp.15347.