Brain and lesion segmentation in multiple sclerosis using fully-convolutional neural networks: A large-scale study

OBJECTIVE: To investigate the performance of deep learning (DL) based on fully convolutional neural network (FCNN) in segmenting brain tissues in a large cohort of multiple sclerosis (MS) patients. METHODS: We developed a FCNN model to segment brain tissues, including T2-hyperintense MS lesions. The...

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Veröffentlicht in:Mult Scler
Hauptverfasser: Gabr, Refaat E., Coronado, Ivan, Robinson, Melvin, Sujit, Sheeba J., Datta, Sushmita, Sun, Xiaojun, Allen, William J., Lublin, Fred D., Wolinsky, Jerry S., Narayana, Ponnada A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2019
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6908772/
https://ncbi.nlm.nih.gov/pubmed/31190607
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1352458519856843
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