Automatic classification of heart failure based on Cine-CMR images.

Yuan XieHai ZhongJiaqi WuWangyuan ZhaoRunping HouLu ZhaoXiaowei XuMin ZhangJun Zhao

Published in: International journal of computer assisted radiology and surgery (2023)

In 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.

Keyphrases

deep learning
machine learning
convolutional neural network
heart failure
acute heart failure
primary care
health information
atrial fibrillation
risk assessment
climate change
human health
replacement therapy
neural network