Biot-PINN embeds Biot poroelasticity into a neural network to decode photoacoustic signals for cancellous bone microstructure grading at 97% accuracy.
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Physics-informed neural networks for quantitative assessment of cancellous bone microstructure from photoacoustic signals
Biot-PINN embeds Biot poroelasticity into a neural network to decode photoacoustic signals for cancellous bone microstructure grading at 97% accuracy.