Tailored methods for segmentation of intravascular ultrasound images via convolutional neural networks

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:	Ultrasonic Imaging and Tomography: SPIE Medical Imaging (2021)
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)
Part of Series:
Volume number:	11602
Appears in Collections:	Publications without fulltext

119

Last Week
2

Last month
3

checked on May 30, 2023

4

Last Week
0

Last month
0

checked on Jun 30, 2022

Check

Add Files to Item

Export