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4252 Automated Fetal Brain Volumetry on Clinical Fetal MRI Using Convolutional Neural Network

OBJECTIVES/GOALS: We seek to develop an automated deep learning-based method for segmentation and volumetric quantification of the fetal brain on T2-weighted fetal MRIs. We will evaluate the performance of the algorithm by comparing it to gold standard manual segmentations. The method will be used t...

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Detalles Bibliográficos
Autores principales:	Tran, Carol, Glenn, Orit, Hess, Christopher, Rauschecker, Andreas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cambridge University Press 2020
Materias:	Data Science/Biostatistics/Informatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822917/ http://dx.doi.org/10.1017/cts.2020.169

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