Segmentation of Defective Skulls from CT Data for Tissue Modelling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU150377" target="_blank" >RIV/00216305:26230/21:PU150377 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-92652-6_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-92652-6_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-92652-6_3" target="_blank" >10.1007/978-3-030-92652-6_3</a>

Result language
angličtina
Original language name
Segmentation of Defective Skulls from CT Data for Tissue Modelling
Original language description
This work presents a method of automatic segmentation of defective skulls for custom cranial implant design and 3D printing purposes.
Czech name
—
Czech description
—

Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Towards the Automatization of Cranial Implant Design in Cranioplasty II
ISBN
978-3-030-92652-6
ISSN
0302-9743
e-ISSN
—
Number of pages
9
Pages from-to
19-28
Publisher name
Springer Nature Switzerland AG
Place of publication
Strasbourg
Event location
Strasbourg
Event date
Sep 28, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000946096000003

Result description