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Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images
Accurate identification of coronary plaque is very important for cardiologists when treating patients with advanced atherosclerosis. We developed fully-automated semantic segmentation of plaque in intravascular OCT images. We trained/tested a deep learning model on a folded, large, manually annotate...
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| Publicado en: | Biomed Opt Express |
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| Autores principales: | , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Optical Society of America
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6913416/ https://ncbi.nlm.nih.gov/pubmed/31853413 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.10.006497 |
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