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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
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

Internet

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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