Y-Net, a dual-encoder CNN that fuses raw photoacoustic signals with beamformed images, improves limited-view photoacoustic reconstruction over U-Net in simulation, phantom, and in-vivo tests.
Photoacoustic Classification of Tumor Model Morphology Based on Support Vector Machine: A Simulation and Phantom Study,
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Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo
Y-Net, a dual-encoder CNN that fuses raw photoacoustic signals with beamformed images, improves limited-view photoacoustic reconstruction over U-Net in simulation, phantom, and in-vivo tests.