Cargando…
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...
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: | |
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 |
Ejemplares similares
-
GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology
por: Lu, Po-Jui, et al.
Publicado: (2020) -
U-Net Based Segmentation and Characterization of Gliomas
por: Kihira, Shingo, et al.
Publicado: (2022) -
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT
por: Chaganti, Shikha, et al.
Publicado: (2020) -
Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort
por: Mortani Barbosa, Eduardo J., et al.
Publicado: (2021) -
Clinical correlates of parametric digit-symbol substitution test in schizophrenia
por: Amaresha, Anekal C., et al.
Publicado: (2014)