Publication detail

Segmentation of Defective Skulls from CT Data for Tissue Modelling

KODYM, O. ŠPANĚL, M. HEROUT, A.

Original Title

Segmentation of Defective Skulls from CT Data for Tissue Modelling

Type

conference paper

Language

English

Original Abstract

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

Keywords

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

Authors

KODYM, O.; ŠPANĚL, M.; HEROUT, A.

Released

3. 12. 2021

Publisher

Springer Nature Switzerland AG

Location

Strasbourg

ISBN

978-3-030-92652-6

Book

Towards the Automatization of Cranial Implant Design in Cranioplasty II

Edition

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Number

13123

State

Federal Republic of Germany

Pages from

19

Pages to

28

Pages count

9

URL

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

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"
}