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Nov 3, 2023 · In this study, we proposed a novel self-supervised learning framework named 4D-SSLHF for HF classification based on Cine-CMR.
Nov 3, 2023 · In this study, we proposed a novel self-supervised learning framework named 4D-SSLHF for HF classification based on Cine-CMR.
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Compared to echocardiography, cine cardiac magnetic resonance images (Cine-CMR) can estimate more accurate EF, whereas rare studies focus on the application of ...
The proposed 4D-SSLHF can mine 3D spatial information and temporal information in Cine-CMR images well and accurately classify different categories of HF. The ...
It mainly consists of self-supervised image restoration and HF classification. The image restoration proxy task utilizes three image transformation methods to ...
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Automatic classification of heart failure based on Cine-CMR images ; Journal: International Journal of Computer Assisted Radiology and Surgery, 2023, № 2, p. 355 ...
Sep 14, 2018 · Here we demonstrate an automated analysis method for CMR images, which is based on a fully convolutional network (FCN). The network is ...
We propose the use of a deep learning based network for segmentation of the three key cardiac structures within short-axis cine MRI sequences and a classifier ...
Feb 14, 2024 · In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been developed and analyzed.