Using Deep Learning to Enhance Photoacoustic Brain Images
Kjones
Although the porous skull severely impacts the quality of photoacoustic brain images, the deep learning model U-Net can be used for effective image post-processing. This talk explores U-Net’s robustness by training on images with 2D wave effects, then later testing on images with 2D+3D wave effects. The post Using Deep Learning to Enhance Photoacoustic Brain Images first appeared on Acoustics.org .