Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Heschl, Andrew"'
Autor:
Quetin, Sébastien, Heschl, Andrew, Murillo, Mauricio, Murali, Rohit, Enger, Shirin A., Maleki, Farhad
Background and purpose: Deep Learning (DL) has been widely explored for Organs at Risk (OARs) segmentation; however, most studies have focused on a single modality, either CT or MRI, not both simultaneously. This study presents a high-performing DL p
Externí odkaz:
http://arxiv.org/abs/2405.10833