Landet: an efficient physics-informed deep learning approach for automatic detection of anatomical landmarks and measurement of spinopelvic alignment.

Abstract

Authors

• AliAsghar MohammadiNasrabadi
  Department of Systems Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada. aliasgharmn@uwaterloo.ca.
• Gemah Moammer
  Department of Spine Surgery, Grand River Hospital (GRH), 835 King St W, Kitchener, ON, N2G 1G3, Canada.
• Ahmed Quateen
  Department of Spine Surgery, Grand River Hospital (GRH), 835 King St W, Kitchener, ON, N2G 1G3, Canada.
• Kunal Bhanot
  Department of Surgery, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
• John McPhee
  Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

Keywords

External Resources