Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12439)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: AutoImplant 2020.
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Table of contents (12 papers)
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Towards the Automatization of Cranial Implant Design in Cranioplasty
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Towards the Automatization of Cranial Implant Design in Cranioplasty
Book Subtitle: First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Editors: Jianning Li, Jan Egger
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-64327-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-64326-3Published: 29 November 2020
eBook ISBN: 978-3-030-64327-0Published: 04 December 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 115
Number of Illustrations: 4 b/w illustrations, 72 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Computer Appl. in Social and Behavioral Sciences