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Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging
In the recent past, there have been many efforts to accelerate adaptive beamforming for ultrasound (US) imaging using neural networks (NNs).
Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipeline
Instead of framing the beamforming problem as a regression problem to estimate the apodization weights, the proposed approach treats the non-linear transformation of the RF data space that can account for the data driven weight adaptation done by the MVDR approach in the parameters of the network.
Microcontroller Based Load Monitoring System
A clever utilization of in-built ADC and timers of the microcontroller reduces the design complexity of the system.
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