Fully Automated Thrombus Segmentation on CT Images of Patients with Acute Ischemic Stroke

Thrombus imaging characteristics are associated with treatment success and functional outcomes in stroke patients. However, assessing these characteristics based on manual annotations is labor intensive and subject to observer bias. Therefore, we aimed to create an automated pipeline for consistent...

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Detalles Bibliográficos
Autores principales: Mojtahedi, Mahsa, Kappelhof, Manon, Ponomareva, Elena, Tolhuisen, Manon, Jansen, Ivo, Bruggeman, Agnetha A. E., Dutra, Bruna G., Yo, Lonneke, LeCouffe, Natalie, Hoving, Jan W., van Voorst, Henk, Brouwer, Josje, Terreros, Nerea Arrarte, Konduri, Praneeta, Meijer, Frederick J. A., Appelman, Auke, Treurniet, Kilian M., Coutinho, Jonathan M., Roos, Yvo, van Zwam, Wim, Dippel, Diederik, Gavves, Efstratios, Emmer, Bart J., Majoie, Charles, Marquering, Henk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947334/
https://www.ncbi.nlm.nih.gov/pubmed/35328251
http://dx.doi.org/10.3390/diagnostics12030698

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947334/
https://www.ncbi.nlm.nih.gov/pubmed/35328251
http://dx.doi.org/10.3390/diagnostics12030698

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