Wave flow is a deep learning-based tool. The technology was evaluated using data acquired from wire and cyst phantoms. Both GPU and CPU are supported by the tool.
For ultrasound image reconstruction, a generative adversarial network (GAN) framework was developed. The suggested framework produced higher-quality ultrasound reconstructions.
To overcome the mismatch of noise levels, a framework for iterative PET reconstruction employing denoising CNN and a local linear fitting function has been developed. It beats traditional approaches in terms of total variation.
In electromagnetic tomography, a strategy for resolving imaging difficulties has been developed (EMT). Its practicality has been confirmed by preliminary results.
In optical microscopy, the work offered an overview of DNNs. DNNs increase the quality of image reconstruction in optical microscopy, according to the findings.