Evaluation of a fully automated computed tomography image segmentation method for fast and accurate body composition measurements

Michelle V. Dietz, Karteek Popuri, Lars Janssen, Mushfiqus Salehin, Da Ma, Vincent Tze Yang Chow, Hyunwoo Lee, Cornelis Verhoef, Eva V.E. Madsen, Mirza F. Beg, Jeroen L.A. van Vugt*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Evaluation of a fully automated computed tomography image segmentation method for fast and accurate body composition measurements'. Together they form a unique fingerprint.

Medicine and Dentistry

Nursing and Health Professions

Keyphrases