Deep learning for calcium segmentation in intravascular ultrasound images

Deep learning for calcium segmentation in intravascular ultrasound images

Knowing the shape of vascular calcifications is crucial for appropriate planning and conductance of percutaneous coronary interventions. The clinical workflow can therefore benefit from automatic segmentation of calcified plaques in intravascular ultrasound (IVUS) images. To solve segmentation probl...

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Bibliographic Details
Main Authors: Bargsten Lennart, Riedl Katharina A., Wissel Tobias, Brunner Fabian J., Schaefers Klaus, Grass Michael, Blankenberg Stefan, Seiffert Moritz, Schlaefer Alexander
Format: Article
Language:English
Published: De Gruyter 2021-08-01
Series:Current Directions in Biomedical Engineering
Subjects:
multi-task learning
small dataset
coronary artery
vessel
convolutional neural network
Online Access:https://doi.org/10.1515/cdbme-2021-1021

Internet

https://doi.org/10.1515/cdbme-2021-1021

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