Automatic classification of heart failure based on Cine-CMR images
ConclusionsIn this study, we proposed a novel self-supervised learning framework named 4D-SSLHF for HF classification based on Cine-CMR. 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 good classification results show our method ’s potential to assist physicians in choosing personalized treatment.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research
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