Search Results for author: Francesco Di Feola

Found 2 papers, 2 papers with code

Multi-Scale Texture Loss for CT denoising with GANs

1 code implementation25 Mar 2024 Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda

To grasp highly complex and non-linear textural relationships in the training process, this work presents a loss function that leverages the intrinsic multi-scale nature of the Gray-Level-Co-occurrence Matrix (GLCM).

Denoising Image Generation

A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT Denoising

1 code implementation11 Apr 2023 Francesco Di Feola, Lorenzo Tronchin, Paolo Soda

To this end, we can use quantitative image quality assessment scores that we divided into two categories, i. e., paired and unpaired measures.

Denoising Image Quality Assessment

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