ENGLISH

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

By Jan Egger , Jianning Li

Book information

Publisher
Springer International Publishing;Springer
Year
2020
ISBN
9783030643263, 9783030643270
DOI
10.1007/978-3-030-64327-0
Language
english
Format
PDF
Filesize
30 MB (31894653 bytes)
Series
Lecture Notes in Computer Science 12439
Edition
1st ed.
Pages
XVI, 115\127
Time added
2021-01-06 05:41:07
Computer Science; Computer ImagingPattern Recognition and Graphics; Computer Appl. iVision

Description

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.

Similar books