Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET

Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET

Magnetic resonance imaging (MRI) synthesis has attracted attention due to its various applications in the medical imaging domain. In this paper, we propose generating synthetic multiple sclerosis (MS) lesions on MRI images with the final aim to improve the performance of supervised machine learning...

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Bibliographic Details
Main Authors: Mostafa Salem, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Arnau Oliver, Joaquim Salvi, Alex Rovira, Xavier Llado
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Brain
MRI
multiple sclerosis
synthetic lesion generation
convolutional neural network
data augmentation
Online Access:https://ieeexplore.ieee.org/document/8645628/

Internet

https://ieeexplore.ieee.org/document/8645628/

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