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

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 intracrania...

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Detalles Bibliográficos
Autores principales: Nael, Kambiz, Gibson, Eli, Yang, Chen, Ceccaldi, Pascal, Yoo, Youngjin, Das, Jyotipriya, Doshi, Amish, Georgescu, Bogdan, Janardhanan, Nirmal, Odry, Benjamin, Nadar, Mariappan, Bush, Michael, Re, Thomas J., Huwer, Stefan, Josan, Sonal, von Busch, Heinrich, Meyer, Heiko, Mendelson, David, Drayer, Burton P., Comaniciu, Dorin, Fayad, Zahi A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994311/
https://www.ncbi.nlm.nih.gov/pubmed/33767226
http://dx.doi.org/10.1038/s41598-021-86022-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994311/
https://www.ncbi.nlm.nih.gov/pubmed/33767226
http://dx.doi.org/10.1038/s41598-021-86022-7

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