Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography
Background Regional Wall Motion Abnormality (RWMA) serves as an early indicator of myocardial infarction (MI), the global leader in mortality. Accurate and early detection of RWMA is vital for the successful treatment of MI. Current automated echocardiography analyses typically concentrate on peak v...
| Published in: | PLoS ONE |
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| Main Author: | |
| Format: | Article |
| Language: | English |
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Public Library of Science
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204048904&doi=10.1371%2fjournal.pone.0310107&partnerID=40&md5=0afc63bbc44f83293adbac9c86dd9723 |