Benutzer: Gast  Login
Titel:

Body Fat Estimation from Surface Meshes Using Graph Neural Networks

Dokumenttyp:
Proceedings Paper
Autor(en):
Mueller, Tamara T.; Zhou, Siyu; Starck, Sophie; Jungmann, Friederike; Ziller, Alexander; Aksoy, Orhun; Movchan, Danylo; Braren, Rickmer; Kaissis, Georgios; Rueckert, Daniel
Abstract:
Body fat volume and distribution can be a strong indication for a person's overall health and the risk for developing diseases like type 2 diabetes and cardiovascular diseases. Frequently used measures for fat estimation are the body mass index (BMI), waist circumference, or the waist-hip-ratio. However, those are rather imprecise measures that do not allow for a discrimination between different types of fat or between fat and muscle tissue. The estimation of visceral (VAT) and abdominal subcuta...     »
Zeitschriftentitel:
Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv
Jahr:
2023
Band / Volume:
14350
Seitenangaben Beitrag:
105-117
Volltext / DOI:
doi:10.1007/978-3-031-46914-5_9
Print-ISSN:
0302-9743
TUM Einrichtung:
Institut für Diagnostische und Interventionelle Radiologie (Prof. Makowski)
 BibTeX