Deep learning for 3D biliary anatomy for living liver donor hepatectomy planning

aDepartment of Surgery, Indiana University School of Medicine, Indianapolis, IN, USA bDeWitt Daughtry Family Department of Surgery, University of Miami School of Medicine; Miami, FL, USA cDepartment of Surgery and Solid Organ Transplantation, Bahcesehir University School of Medicine, Istanbul, Turkiye KEYWORDS: biliary anatomy, liver transplantation, liver resection, hepatectomy, deep learning, 3D structure. Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. Published online ■ ■ *Corresponding author. Address: Department of Surgery, Indiana University School of Medicine, 550 University Blvd, Room 4601, Indianapolis, IN, USA. Tel: +317-944-4370; fax: +317-948-3268. E-mail address: [email protected] (B. Ekser). This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/