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)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12439
Release date:	November 2020
First published:	2020
Editors:	Jianning Li • Jan Egger
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	115
Edition:	1st ed. 2020
ISBN-13:	978-3-03-064326-3
Categories:	Books > Social sciences > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-03-064326-3
Barcode:	9783030643263

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