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- W3128531755 abstract "Echocardiogram metadata annotation is an entry level to the interpretation and analysis of echocardiographs for clinical usage. Automation of this task has been the subject of research over the past few years. In this paper we evaluate how far some state-of-the-art convolutional neural networks (CNNs) trained with non-radiological images can go at extracting features from cardiac structures in apical two-chamber (2CH) and four-chamber (4CH) echocardiograms for automatic binary view echocardiogram classification on a publicly available ultrasound dataset." @default.
- W3128531755 created "2021-02-15" @default.
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- W3128531755 date "2020-12-09" @default.
- W3128531755 modified "2023-09-25" @default.
- W3128531755 title "Binary View Classification of Echocardiograms of the Heart Using Transfer Learning" @default.
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- W3128531755 doi "https://doi.org/10.1109/ipas50080.2020.9334932" @default.
- W3128531755 hasPublicationYear "2020" @default.
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