Towards high-performance deep learning architecture and hardware accelerator design for robust analysis in diffuse correlation spectroscopy

•We provided a comprehensive discussion of the rigorous mathematical model of diffuse correlation spectroscopy (DCS) and used it to generate synthetic data for training Deep Neural Networks (DNNs). We conducted an extensive comparison of our model with conventional non-linear fitting algorithms and...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2025-01, Vol.258, p.108471, Article 108471
Hauptverfasser:	Zang, Zhenya, Wang, Quan, Pan, Mingliang, Zhang, Yuanzhe, Chen, Xi, Li, Xingda, Li, David Day Uei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blood flow index Deep Learning Deep neural networks Deep-learning hardware accelerator Diffuse correlation spectroscope Equipment Design Humans Neural Networks, Computer Phantoms, Imaging Spectrum Analysis
Online-Zugang:	Volltext
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