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Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets
We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravascular optical coherence tomography (IVOCT) images using a comprehensive set of handcrafted features. We incorporated features developed in previous studies (e.g., optical attenuation and A-line peaks)...
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| Publicat a: | J Biomed Opt |
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| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6784787/ https://ncbi.nlm.nih.gov/pubmed/31586357 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.24.10.106002 |
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