Publisher DOI: 10.1117/12.2580720
Title: Tailored methods for segmentation of intravascular ultrasound images via convolutional neural networks
Language: English
Authors: Bargsten, Lennart 
Riedl, Katharina A. 
Wissel, Tobias 
Brunner, Fabian J. 
Schaefers, Klaus 
Sprenger, Johanna 
Grass, Michael 
Seiffert, Moritz 
Blankenberg, Stefan 
Schlaefer, Alexander 
Editor: Ruiter, Nicole V. 
Byram, Brett C. 
Issue Date: 2021
Publisher: SPIE
Source: Medical Imaging - Ultrasonic Imaging and Tomography: SPIE Medical Imaging (2021)
Part of Series: Proceedings of SPIE 
Volume number: 11602
Conference: SPIE Medical Imaging, 2021 
URI: http://hdl.handle.net/11420/8980
ISBN: 978-1-5106-4033-7
978-1-5106-4034-4
Institute: Medizintechnische und Intelligente Systeme E-1 
Document Type: Chapter/Article (Proceedings)
Project: MALEKA: Maschinelle Lernverfahren für die kariovaskuläre Bildgebung auf der Grundlage des Programms für Innovation (PROFI) - Modul PROFI Transfer Plus 
I³-Lab - Modell-gestütztes maschinelles Lernen für die Weichgewebsmodellierung in der Medizin 
More Funding information: European Regional Development Fund (ERDF)
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