Publication Details
Segmentation of Defective Skulls from CT Data for Tissue Modelling
KODYM Oldřich, ŠPANĚL Michal and HEROUT Adam. 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. Strasbourg: Springer Nature Switzerland AG, 2021, pp. 19-28. ISBN 978-3-030-92652-6. ISSN 0302-9743. Available from: https://link.springer.com/chapter/10.1007/978-3-030-92652-6_3
Czech title
Segmentace poškozených lebek v CT datech pro modelování tkáně
Type
conference paper
Language
english
Authors
Kodym Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT)
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT)
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
URL
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, FR
DOI
UT WoS
000946096000003
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB12634, author = "Old\v{r}ich Kodym and Michal \v{S}pan\v{e}l and Adam Herout", title = "Segmentation of Defective Skulls from CT Data for Tissue Modelling", pages = "19--28", booktitle = "Towards the Automatization of Cranial Implant Design in Cranioplasty II", series = "Lecture Notes in Computer Science", journal = "Lecture Notes in Computer Science", number = 13123, year = 2021, location = "Strasbourg, FR", publisher = "Springer Nature Switzerland AG", ISBN = "978-3-030-92652-6", ISSN = "0302-9743", doi = "10.1007/978-3-030-92652-6\_3", language = "english", url = "https://www.fit.vut.cz/research/publication/12634" }