Accelerated Diffusion-Weighted MRI of Rectal Cancer Using a Residual Convolutional Network

This work presents a deep-learning-based denoising technique to accelerate the acquisition of high b-value diffusion-weighted MRI for rectal cancer. A denoising convolutional neural network (DCNN) with a combined L1–L2 loss function was developed to denoise high b-value diffusion-weighted MRI data a...

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Detalles Bibliográficos
Autores principales: Mohammadi, Mohaddese, Kaye, Elena A., Alus, Or, Kee, Youngwook, Golia Pernicka, Jennifer S., El Homsi, Maria, Petkovska, Iva, Otazo, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045764/
https://www.ncbi.nlm.nih.gov/pubmed/36978750
http://dx.doi.org/10.3390/bioengineering10030359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045764/
https://www.ncbi.nlm.nih.gov/pubmed/36978750
http://dx.doi.org/10.3390/bioengineering10030359

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