Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients

• Main Authors: Elizabeth M. Cespedes Feliciano (Author), Karteek Popuri (Author), Dana Cobzas (Author), Vickie E. Baracos (Author), Mirza Faisal Beg (Author), Arafat Dad Khan (Author), Cydney Ma (Author), Vincent Chow (Author), Carla M. Prado (Author), Jingjie Xiao (Author), Vincent Liu (Author), Wendy Y. Chen (Author), Jeffrey Meyerhardt (Author), Kathleen B. Albers (Author), Bette J. Caan (Author)
• Format: Book
• Published: Wiley, 2020-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Body composition from computed tomography (CT) scans is associated with cancer outcomes including surgical complications, chemotoxicity, and survival. Most studies manually segment CT scans, but Automatic Body composition Analyser using Computed tomography image Segmentation (ABA...