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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 no: | Biomed Opt Express |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2019
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| Assuntos: | |
| Acesso em linha: | 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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