AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design
; Newcombe, Virginia ; Ferrante, Enzo ; Jin, Yuan ; Ellis, David G. ; Aizenberg, Michele R. ; Kodym, Oldrich ; Spanel, Michal ; Herout, Adam ; Mainprize, James G. ; Fishman, Zachary ; Hardisty, Michael R. ; Bayat, Amirhossein ; Shit, Suprosanna ; Wang, Bomin ; Liu, Zhi ; Eder, Matthias ; Pepe, Antonio ; Gsaxner, Christina ; Alves, Victor ; Zefferer, Ulrike ; Von Campe, Gord ; Pistracher, Karin ; Schafer, Ute ; Schmalstieg, Dieter ; Menze, Bjoern H. ; Glocker, Ben ; Egger, Jan Otros responsables
Fecha
09/2021
Editorial
Institute of Electrical and Electronics Engineers
Revista
IEEE Transaction on Medical Imaging
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0278-0062
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Inglés
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Resumen
The aim of this paper is to provide a comprehensive overview of the MICCAI 2020 AutoImplant Challenge. The approaches and publications submitted and accepted within the challenge will be summarized and reported, highlighting common algorithmic trends and algorithmic diversity. Furthermore, the evaluation results will be presented, compared and discussed in regard to the challenge aim: seeking for low cost, fast and fully automated solutions for cranial implant design. Based on feedback from collaborating neurosurgeons, this paper concludes by stating open issues and post-challenge requirements for intra-operative use.
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Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa
Identificadores
Li, Jianning; Pimentel, Pedro; Szengel, Angelika; Ehlke, Moritz; Lamecker, Hans; et al.; AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design; Institute of Electrical and Electronics Engineers; IEEE Transaction on Medical Imaging; 40; 9; 9-2021; 2329-2342
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