Automated Analysis of Mitral Inflow Doppler using Convolutional Neural NetworksDownload PDF

22 Apr 2022, 19:28 (edited 04 Jun 2022)MIDL 2022 Short PapersReaders: Everyone
  • 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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