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Document type:
Konferenzbeitrag 
Author(s):
Degel, M.; Navab, N.; Albarqouni, S. 
Title:
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound 
Abstract:
Segmentation of the left atrium and deriving its size can help to predict and detect various cardiovascular conditions. Automation of this process in 3D Ultrasound image data is desirable, since manual delineations are time-consuming, challenging and observer-dependent. Convolutional neural networks have made improvements in computer vision and in medical image analysis. They have successfully been applied to segmentation tasks and were extended to work on volumetric data. In this paper we intro...    »
 
Keywords:
MICCAI,segmentation,ultrasound,deeplearning 
Book / Congress title:
International Conference on Medical Image Computing and Computer-Assisted Intervention 
Organization:
Springer 
Year:
2018 
Pages:
630--637