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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
0302-9743
Periodical
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" }