Abstract
This paper proposes a novel doppler spectral curve detection method. First, U-net model is used to obtain the coarse segmentation map from the spectral image. Then, in order to solve the problem of curve deviation and curve defect, two components, curve correction and curve filling, which adopt deep regression and Generative adversarial networks, are devised for spectrum curve refining operation. These two outputs are fused for final segmentation. The experiments are validated on a private collected Spectral Doppler Spectrum dataset. The results demonstrate the proposed method has achieved satisfactory performance.
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Mao, K., Ren, Y., Yin, L., Jin, Y. (2022). A Novel Deep Learning Based Method for Doppler Spectral Curve Detection. In: Pimenidis, E., Angelov, P., Jayne, C., Papaleonidas, A., Aydin, M. (eds) Artificial Neural Networks and Machine Learning – ICANN 2022. ICANN 2022. Lecture Notes in Computer Science, vol 13529. Springer, Cham. https://doi.org/10.1007/978-3-031-15919-0_1
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