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DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy
OBJECTIVES: Treatment and outcomes of acute stroke have been revolutionised by mechanical thrombectomy. Deep learning has shown great promise in diagnostics but applications in video and interventional radiology lag behind. We aimed to develop a model that takes as input digital subtraction angiogra...
Autores principales: | Kelly, Brendan, Martinez, Mesha, Do, Huy, Hayden, Joel, Huang, Yuhao, Yedavalli, Vivek, Ho, Chang, Keane, Pearse A., Killeen, Ronan, Lawlor, Aonghus, Moseley, Michael E., Yeom, Kristen W., Lee, Edward H. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326097/ https://www.ncbi.nlm.nih.gov/pubmed/36847835 http://dx.doi.org/10.1007/s00330-023-09478-3 |
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