Keywords: Cardiac imaging, Echocardiography, Deep learning
TL;DR: The feasibility of using neural networks to fully automate the process of mitral valve inflow measurements.
Abstract: Doppler echocardiography is commonly used for functional assessment of heart valves such as mitral valve. Currently, the measurements are made manually which is a laborious and subjective process. We have demonstrated the feasibility of using neural networks to fully automate the process of mitral valve inflow measurements. Experiments show that the automated system yields comparable performance to the experts.
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Paper Type: novel methodological ideas without extensive validation
Primary Subject Area: Transfer Learning and Domain Adaptation
Secondary Subject Area: Detection and Diagnosis
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