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Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features
For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterization method that used a hybrid learning approach, which combined deep-learning convolutional and hand-crafted, lumen morphological features. Processing was done on innate A-line units with labels fibro...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7018759/ https://ncbi.nlm.nih.gov/pubmed/32054895 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-59315-6 |
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