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Automatic segmentation of cerebral infarcts in follow-up computed tomography images with convolutional neural networks
BACKGROUND AND PURPOSE: Infarct volume is a valuable outcome measure in treatment trials of acute ischemic stroke and is strongly associated with functional outcome. Its manual volumetric assessment is, however, too demanding to be implemented in clinical practice. OBJECTIVE: To assess the value of...
Autores principales: | Sales Barros, Renan, Tolhuisen, Manon L, Boers, Anna MM, Jansen, Ivo, Ponomareva, Elena, Dippel, Diederik W J, van der Lugt, Aad, van Oostenbrugge, Robert J, van Zwam, Wim H, Berkhemer, Olvert A, Goyal, Mayank, Demchuk, Andrew M, Menon, Bijoy K, Mitchell, Peter, Hill, Michael D, Jovin, Tudor G, Davalos, Antoni, Campbell, Bruce C V, Saver, Jeffrey L, Roos, Yvo B W E M, Muir, Keith W., White, Phil, Bracard, Serge, Guillemin, Francis, Olabarriaga, Silvia Delgado, Majoie, Charles B L M, Marquering, Henk A |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476369/ https://www.ncbi.nlm.nih.gov/pubmed/31871069 http://dx.doi.org/10.1136/neurintsurg-2019-015471 |
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