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Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography images
We develop neural-network-based methods for classifying plaque types in clinical intravascular optical coherence tomography (IVOCT) images of coronary arteries. A single IVOCT pullback can consist of [Formula: see text] microscopic-resolution images, creating both a challenge for physician interpret...
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| I publikationen: | J Med Imaging (Bellingham) |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6275844/ https://ncbi.nlm.nih.gov/pubmed/30525060 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.4.044504 |
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