Protect the Brain When Treating the Heart: Feasibility of 2.5D U-Net for Real-Time Gaseous Microemboli Detection
A feasibility study based on a 2.5D U-Net architecture to detect GME in space-time connected data, resulting in improved detection of moving GMEs against the background with respect to classical spot detection algorithms and 2D U-Net, yet retaining real-time execution speed with respect to more complex deep-learning architectures is proposed.
Andrea Angino, Ken Trotti, D. U. Pizzagalli et al.
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