Towards the Automatization of Cranial Implant Design in Cranioplasty II

Towards the Automatization of Cranial Implant Design in Cranioplasty II Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

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Towards the Automatization of Cranial Implant Design in Cranioplasty II

Towards the Automatization of Cranial Implant Design in Cranioplasty II Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

Sale price  $53.99 Regular price $59.99

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Lecture Notes in Computer Science Image Processing, Computer Vision, Pattern Recognition, and Graphics

Towards the Automatization of Cranial Implant Design in Cranioplasty II

Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

Jianning Li | Jan Egger

Computers / Artificial Intelligence / Computer Vision & Pattern Recognition

This book constitutes the Second Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September, 2021. The challenge took place virtually due to the COVID-19 pandemic.

The 7 papers are presented together with one invited paper, one qualitative evaluation criteria from neurosurgeons and a dataset descriptor. 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.


Publication Date: 04 December 2021
Publisher: Springer International Publishing
Imprint: Springer
ISBN-13: 9783030926519
Format: Paperback softback
Page Count: 129

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