Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer

Background/PurposeSarcopenia is a prognostic factor in patients with head and neck cancer (HNC). Sarcopenia can be determined using the skeletal muscle index (SMI) calculated from cervical neck skeletal muscle (SM) segmentations. However, SM segmentation requires manual input, which is time-consumin...

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Autors principals:	Mohamed A. Naser, Kareem A. Wahid, Aaron J. Grossberg, Brennan Olson, Rishab Jain, Dina El-Habashy, Cem Dede, Vivian Salama, Moamen Abobakr, Abdallah S. R. Mohamed, Renjie He, Joel Jaskari, Jaakko Sahlsten, Kimmo Kaski, Clifton D. Fuller
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2022-07-01
Col·lecció:	Frontiers in Oncology
Matèries:	auto-segmentation deep learning skeletal muscle index head and neck cancer sarcopenia
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fonc.2022.930432/full
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