Classification of cardioembolic stroke based on a deep neural network using chest radiographs

Background: Although chest radiographs have not been utilised well for classifying stroke subtypes, they could provide a plethora of information on cardioembolic stroke. This study aimed to develop a deep convolutional neural network that could diagnose cardioembolic stroke based on chest radiograph...

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Detalles Bibliográficos
Autores principales: Jeong, Han-Gil, Kim, Beom Joon, Kim, Tackeun, Kang, Jihoon, Kim, Jun Yup, Kim, Joonghee, Kim, Joon-Tae, Park, Jong-Moo, Kim, Jae Guk, Hong, Jeong-Ho, Lee, Kyung Bok, Park, Tai Hwan, Kim, Dae-Hyun, Oh, Chang Wan, Han, Moon-Ku, Bae, Hee-Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264106/
https://www.ncbi.nlm.nih.gov/pubmed/34229276
http://dx.doi.org/10.1016/j.ebiom.2021.103466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264106/
https://www.ncbi.nlm.nih.gov/pubmed/34229276
http://dx.doi.org/10.1016/j.ebiom.2021.103466

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