Analysis of Coronary Angiography Video Interpolation Methods to Reduce X-ray Exposure Frequency Based on Deep Learning
Document Type: Research Article
Affiliations: 1: The Future Laboratory, Tsinghua University, Chengfu Road 160, Haidian, Beijing, China 2: Center for Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, China
Publication date: September 1, 2021
This article was made available online on March 29, 2021 as a Fast Track article with title: "Analysis of Coronary Angiography Video Interpolation Methods to Reduce X-ray Exposure Frequency Based on Deep Learning".
Cardiovascular Innovations and Applications (CVIA) publishes focused articles and original clinical research that explore novel developments in cardiovascular disease, effective control and rehabilitation in cardiovascular disease, and promote cardiovascular innovations and applications for the betterment of public health globally. The journal publishes basic research that has clinical applicability in order to promote timely communication of the latest insights relating to coronary artery disease, heart failure, hypertension, cardiac arrhythmia, prevention of cardiovascular disease with a heavy emphasis on risk factor modification. Cardiovascular Innovations and Applications is the official journal of the Great Wall International Congress of Cardiology (GW-ICC). It aims to continue the work of the GW-ICC by providing a global scientific communication platform for cardiologists that bridges East and West.
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