Feb 28, 2020 · In this work, we employed a U-Net based 2D convolutional neural network (CNN) classifier in the fully automatic segmentation of the RV blood pool.
May 31, 2020 · In this work, we employed a U-Net based 2D convolutional neural network (CNN) classifier in the fully automatic segmentation of the RV blood pool.
In this work, we employed a U-Net based 2D convolutional neural network (CNN) classifier in the fully automatic segmentation of the RV blood pool. Our dataset ...
The preliminary results suggest that the U-Net based 2D convolutional neural network (CNN) classifier can be effective in automating RV segmentation, ...
In this work, we employed a U-Net based 2D convolutional neural network (CNN) classifier in the fully automatic segmentation of the RV blood pool. Our dataset ...
Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net · Artificial Intelligence Topics · Cardiac Imaging ...
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Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. C. Tran, M. Halicek, J. Dormer, A. Tandon, ...
Dec 15, 2023 · Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. Proc SPIE Int Soc Opt Eng ...
Nov 30, 2020 · An automated and accurate segmentation platform exclusively dedicated to pediatric CMR images can significantly improve the clinical workflow.
Feb 16, 2023 · Here we present an end-to-end pipeline that uses deep learning for automated view classification, slice selection, phase selection, anatomical landmark ...