Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation Using Mobile U-Net
Author:
Affiliation:
1. Toronto Metropolitan University,Toronto,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230603.pdf?arnumber=10230603
Reference25 articles.
1. Trustworthy Artificial Intelligence in Medical Imaging
2. Mobile-unet: An efficient convolutional neural network for fabric defect detection;jing;Textile Research Journal,2020
3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Lecture Notes in Computer Science,2015
4. EchoCoTr: Estimation of the left ventricular ejection fraction from spatiotemporal echocardiography;muhtaseb;Lecture Notes in Computer Science,2022
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1. Automatic estimation of the ejection fraction from diastole and systole ultrasound images by a simplified end-to-end U-Net neural network;2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM);2023-11-15
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