A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT

To investigate the performance of a joint convolutional neural networks-recurrent neural networks (CNN-RNN) using an attention mechanism in identifying and classifying intracranial hemorrhage (ICH) on a large multi-center dataset; to test its performance in a prospective independent sample consistin...

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Detalles Bibliográficos
Autores principales: Alis, Deniz, Alis, Ceren, Yergin, Mert, Topel, Cagdas, Asmakutlu, Ozan, Bagcilar, Omer, Senli, Yeseren Deniz, Ustundag, Ahmet, Salt, Vefa, Dogan, Sebahat Nacar, Velioglu, Murat, Selcuk, Hakan Hatem, Kara, Batuhan, Ozer, Caner, Oksuz, Ilkay, Kizilkilic, Osman, Karaarslan, Ercan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826390/
https://www.ncbi.nlm.nih.gov/pubmed/35136123
http://dx.doi.org/10.1038/s41598-022-05872-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826390/
https://www.ncbi.nlm.nih.gov/pubmed/35136123
http://dx.doi.org/10.1038/s41598-022-05872-x

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