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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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Detalles Bibliográficos
Autores principales:	Prabhu, David, Bezerra, Hiram G., Kolluru, Chaitanya, Gharaibeh, Yazan, Mehanna, Emile, Wu, Hao, Wilson, David L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Society of Photo-Optical Instrumentation Engineers 2019
Materias:	Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784787/ https://www.ncbi.nlm.nih.gov/pubmed/31586357 http://dx.doi.org/10.1117/1.JBO.24.10.106002

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