Publication Details

Segmentation of Defective Skulls from CT Data for Tissue Modelling

KODYM, O.; ŠPANĚL, M.; HEROUT, A. Segmentation of Defective Skulls from CT Data for Tissue Modelling. In Towards the Automatization of Cranial Implant Design in Cranioplasty II. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Strasbourg: Springer Nature Switzerland AG, 2021. p. 19-28. ISBN: 978-3-030-92652-6. ISSN: 0302-9743.

Czech title

Segmentace poškozených lebek v CT datech pro modelování tkáně

Type

conference paper

Language

English

Authors

Kodym Oldřich, Ing., Ph.D.
Španěl Michal, Ing., Ph.D. (DCGM)
Herout Adam, prof. Ing., Ph.D. (DCGM)

URL

https://link.springer.com/chapter/10.1007/978-3-030-92652-6_3

Keywords

Computed Tomography, Pre-surgical Planning, Segmentation, Convolutional Neural Networks, Graph-Cut

Abstract

This work presents a method of automatic segmentation of defective skulls for custom cranial implant design and 3D printing purposes.

Published

2021

Pages

19–28

Journal

Lecture Notes in Computer Science, no. 13123, ISSN 0302-9743

Proceedings

Towards the Automatization of Cranial Implant Design in Cranioplasty II

Series

Lecture Notes in Computer Science

Conference

Towards the Automatization of Cranial Implant Design in Cranioplasty: 2nd MICCAI Challenge on Automatic Cranial Implant Design, Strasbourg, FR

ISBN

978-3-030-92652-6

Publisher

Springer Nature Switzerland AG

Place

Strasbourg

DOI

10.1007/978-3-030-92652-6_3

UT WoS

000946096000003

EID Scopus

2-s2.0-85121916137

BibTeX

@inproceedings{BUT187370,
  author="Oldřich {Kodym} and Michal {Španěl} and Adam {Herout}",
  title="Segmentation of Defective Skulls from CT Data for Tissue Modelling",
  booktitle="Towards the Automatization of Cranial Implant Design in Cranioplasty II",
  year="2021",
  series="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science",
  number="13123",
  pages="19--28",
  publisher="Springer Nature Switzerland AG",
  address="Strasbourg",
  doi="10.1007/978-3-030-92652-6\{_}3",
  isbn="978-3-030-92652-6",
  issn="0302-9743",
  url="https://link.springer.com/chapter/10.1007/978-3-030-92652-6_3"
}