Introducing Swish and Parallelized Blind Removal Improves the Performance of a Convolutional Neural Network in Denoising MR Images

PURPOSE: To improve the performance of a denoising convolutional neural network (DnCNN) and to make it applicable to images with inhomogeneous noise, a refinement involving an activation function (AF) and an application of the refined method for inhomogeneous-noise images was examined in combination...

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Detalles Bibliográficos
Autores principales: Sugai, Taro, Takano, Kohei, Ouchi, Shohei, Ito, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society for Magnetic Resonance in Medicine 2021
Materias:
Major Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922346/
https://www.ncbi.nlm.nih.gov/pubmed/33583867
http://dx.doi.org/10.2463/mrms.mp.2020-0073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922346/
https://www.ncbi.nlm.nih.gov/pubmed/33583867
http://dx.doi.org/10.2463/mrms.mp.2020-0073

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