Classification of cross-sections for vascular skeleton extraction using convolutional neural networks

author
Lidayová, Kristína
Frimmel, Hans
Bengtsson, Ewert
Smedby, Örjan
statement of authorship
Kristína Lidayová, Anindya Gupta, Hans Frimmel, Ida-Maria Sintorn, Ewert Bengtsson & Örjan Smedby
source
Medical Image : Understanding and Analysis, 21st Annual Conference, MIUA 2017 Edinburgh, UK, July 11–13, 2017 : Proceedings
location of publication
Cham
publisher
year of publication
pages
p. 182-194
series
Communications in computer and information science ; 723
conference name, date
Medical Image : Understanding and Analysis, 21st Annual Conference, MIUA 2017, 11–13 July 2017
conference location
Edinburgh, UK
subject term
närvivõrgud
angiograafia
kvartiil
Q3
category (general)
keyword
CT angiography
vascular skeleton
ISSN
1865-0929
ISBN
978-331960963-8
notes
Bibliogr.: 14 ref
scientific publication
teaduspublikatsioon
classifier
3.1
language
inglise
Lidayová, K., Gupta, A., Frimmel, H., Sintorn, I.-M., Bengtsson, E., Smedby, Ö. Classification of cross-sections for vascular skeleton extraction using convolutional neural networks // Medical Image : Understanding and Analysis, 21st Annual Conference, MIUA 2017 Edinburgh, UK, July 11–13, 2017 : Proceedings. Cham : Springer, 2017. p. 182-194. (Communications in computer and information science ; 723). https://doi.org/10.1007/978-3-319-60964-5_16