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Towards the Automatization of Cranial Implant Design in Cranioplasty: First Challenge, Autoimplant 2020, Held in Conjunction with Miccai 2020, Lima, P
Paperback
ISBN13: 9783030643263
Publisher: Springer
Published: Nov 29 2020
Pages: 115
Weight: 0.43
Height: 0.28 Width: 6.14 Depth: 9.21
Language: English
The 10 papers presented together with one invited paper and a dataset descriptor in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to provide more affordable, faster, and more patient-friendly solutions to the design and manufacturing of medical implants, including cranial implants, which is needed in order to repair a defective skull from a brain tumor surgery or trauma. The presented solutions can serve as a good benchmark for future publications regarding 3D volumetric shape learning and cranial implant design.
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