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Towards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (Paperback, 1st ed. 2020)
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Towards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (Paperback, 1st ed. 2020)
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12439
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This book constitutes the First Automatization of Cranial Implant
Design in Cranioplasty Challenge, AutoImplant 2020, which was held
in conjunction with the 23rd International Conference on Medical
Image Computing and Computer-Assisted Intervention, MICCAI 2020, in
Lima, Peru, in October 2020. The challenge took place virtually due
to the COVID-19 pandemic. 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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