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Histopathology-Based Deep-Learning Predicts Atherosclerotic Lesions in Intravascular Imaging
Background: Optical coherence tomography is a powerful modality to assess atherosclerotic lesions, but detecting lesions in high-resolution OCT is challenging and requires expert knowledge. Deep-learning algorithms can be used to automatically identify atherosclerotic lesions, facilitating identific...
Autores principales: | Holmberg, Olle, Lenz, Tobias, Koch, Valentin, Alyagoob, Aseel, Utsch, Léa, Rank, Andreas, Sabic, Emina, Seguchi, Masaru, Xhepa, Erion, Kufner, Sebastian, Cassese, Salvatore, Kastrati, Adnan, Marr, Carsten, Joner, Michael, Nicol, Philipp |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713728/ https://www.ncbi.nlm.nih.gov/pubmed/34970608 http://dx.doi.org/10.3389/fcvm.2021.779807 |
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