L. Lecointre , I. Alekseenko , M. Pavone , A. Karargyris , F. Fanfani , A. Fagotti , G. Scambia , D. Querleu , C. Akladios , J. Dana , N. Padoy
International Journal of Gynecological Cancer -
International journal
Artificial intelligence-enhanced magnetic resonance imaging-based pre-operative staging in patients with endometrial cancer, International Journal of Gynecological Cancer, Elsevier
Research team : RDH
@Article{2-LAPKxx,
author = {Lecointre, L. and Alekseenko, I. and Pavone, M. and Karargyris, A. and Fanfani, F. and Fagotti, A. and Scambia, G. and Querleu, D. and Akladios, C. and Dana, J. and Padoy, N.},
title = {Artificial intelligence-enhanced magnetic resonance imaging-based pre-operative staging in patients with endometrial cancer},
journal = {International Journal of Gynecological Cancer},
x-international-audience = {Yes},
x-language = {EN},
url = {http://publis.icube.unistra.fr/appli.php/2-LAPKxx}
}