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Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients.

Alexander BigalkeLasse HansenJasper DieselMattias P Heinrich
Published in: International journal of computer assisted radiology and surgery (2021)
We present a novel pipeline to estimate the weight of patients, which are covered by a blanket. Our approach relaxes the specific conditions that were required for accurate weight estimates by previous contactless methods and thus constitutes an important step towards fully automatic weight estimation in clinical practice.
Keyphrases
  • end stage renal disease
  • body mass index
  • physical activity
  • ejection fraction
  • weight loss
  • newly diagnosed
  • chronic kidney disease
  • weight gain
  • peritoneal dialysis
  • machine learning
  • body weight
  • patient reported