Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI

BACKGROUND AND PURPOSE: Accurate automated infarct segmentation is needed for acute ischemic stroke studies relying on infarct volumes as an imaging phenotype or biomarker that require large numbers of subjects. This study investigated whether an ensemble of convolutional neural networks trained on...

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Detalles Bibliográficos
Publicado en:AJNR Am J Neuroradiol
Main Authors: Winzeck, S., Mocking, S.J.T., Bezerra, R., Bouts, M.J.R.J., McIntosh, E.C., Diwan, I., Garg, P., Chutinet, A., Kimberly, W.T., Copen, W.A., Schaefer, P.W., Ay, H., Singhal, A.B., Kamnitsas, K., Glocker, B., Sorensen, A.G., Wu, O.
Formato: Artigo
Idioma:Inglês
Publicado: American Society of Neuroradiology 2019
Assuntos:
Adult Brain
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6715290/
https://ncbi.nlm.nih.gov/pubmed/31147354
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6077
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