
Score-based diffusion models can be used to solve the ill-posed inverse problem of reconstructing photoacoustic tomography images from limited sensor measurements.


coremsg

diffusion-models-for-photoacoustic-tomography-image-reconstruction-with-limited-measurements


Diffusion Models for Photoacoustic Tomography Image Reconstruction with Limited Measurements


title_rewrite


The proposed DensePANet model employs a novel FD-UNet++ architecture in its generator to significantly improve the reconstruction performance of photoacoustic tomography images from sparse data.


an-improved-generative-adversarial-network-for-photoacoustic-tomography-image-reconstruction-from-sparse-data


An Improved Generative Adversarial Network for Photoacoustic Tomography Image Reconstruction from Sparse Data
