The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI

The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI

Background: Magnetic resonance imaging (MRI) is predominant in the therapeutic management of cancer patients, unfortunately, patients have to wait a long time to get an appointment for examination. Therefore, new MRI devices include deep-learning (DL) solutions to save acquisition time. However, the...

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Bibliographic Details
Main Authors: Ilyass Moummad, Cyril Jaudet, Alexis Lechervy, Samuel Valable, Charlotte Raboutet, Zamila Soilihi, Juliette Thariat, Nadia Falzone, Joëlle Lacroix, Alain Batalla, Aurélien Corroyer-Dulmont
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Cancers
Subjects:
deep learning
radiomics
MRI
resampling
denoising
Online Access:https://www.mdpi.com/2072-6694/14/1/36

Internet

https://www.mdpi.com/2072-6694/14/1/36

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