The first ever internationally crowd-sourced database of raw ultrasound channel data + integrated beamforming and eval code is now available as a major outcome of the 2020 Challenge on Ultrasound Beamforming with Deep Learning.
✅
✅
CUBDL outcomes & contributions include:
✅Database of ultrasound channel data
✅Network descriptions and trained network weights from CUBDL winners
✅PyTorch DAS beamformer
✅Optimized phantom sound speeds
✅Evaluation code that integrates all of the above
@Atar_1990
@AlycenWiacek
@IEEE_UFFC_Soc
Thank you and yes they are! The trained network weights of the CUBDL winners are now included with the PyTorch DAS beamformer available with the code release.