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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Pubblicato in:AJNR Am J Neuroradiol
Autori principali: 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.
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Society of Neuroradiology 2019
Soggetti:
Adult Brain
Accesso online: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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