Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks

Abstract With the rapid growth and increasing use of brain MRI, there is an interest in automated image classification to aid human interpretation and improve workflow. We aimed to train a deep convolutional neural network and assess its performance in identifying abnormal brain MRIs and critical in...

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Detaylı Bibliyografya
Asıl Yazarlar:	Kambiz Nael, Eli Gibson, Chen Yang, Pascal Ceccaldi, Youngjin Yoo, Jyotipriya Das, Amish Doshi, Bogdan Georgescu, Nirmal Janardhanan, Benjamin Odry, Mariappan Nadar, Michael Bush, Thomas J. Re, Stefan Huwer, Sonal Josan, Heinrich von Busch, Heiko Meyer, David Mendelson, Burton P. Drayer, Dorin Comaniciu, Zahi A. Fayad
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Nature Portfolio 2021-03-01
Seri Bilgileri:	Scientific Reports
Online Erişim:	https://doi.org/10.1038/s41598-021-86022-7
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks

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