Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography.

Aneurysm size correlates with rupture risk and is important for treatment planning. User annotation of aneurysm size is slow and tedious, particularly for large data sets. Geometric shortcuts to compute size have been shown to be inaccurate, particularly for nonstandard aneurysm geometries. To devel...

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Detalles Bibliográficos

Publicado en:	Journal of Digital Imaging Vol. 32; no. 5; pp. 808 - 816
Autores principales:	Stember, Joseph N., Chang, Peter, Stember, Danielle M., Liu, Michael, Grinband, Jack, Filippi, Christopher G., Meyers, Philip, Jambawalikar, Sachin
Formato:	diagnostic images equations & formulas research tables/charts Journal Article
Publicado:	Springer Nature Oct2019
Acceso en línea:	Ver este registro en EBSCOhost