Real-Time Automatic M-Mode Echocardiography Measurement With Panel Attention

Motion mode (M-mode) echocardiography is essential for measuring cardiac dimension and ejection fraction. However, the current diagnosis is time-consuming and suffers from diagnosis accuracy variance. This work resorts to building an automatic scheme through well-designed and well-trained deep learn...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2024-09, Vol.28 (9), p.5383-5395
Hauptverfasser:	Tseng, Ching-Hsun, Chien, Shao-Ju, Wang, Po-Shen, Lee, Shin-Jye, Pu, Bin, Zeng, Xiao-Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biomedical measurement Deep Learning Echocardiography Echocardiography - methods Humans Image Interpretation, Computer-Assisted - methods Instance segmentation Labeling M-mode echocardiography Neural Networks, Computer real-time instance segmentation Real-time systems Ultrasonic imaging ultrasound images
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