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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)...
Gorde:
| Argitaratua izan da: | J Biomed Opt |
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| Egile Nagusiak: | , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Gaiak: | |
| Sarrera elektronikoa: | 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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