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

Internet

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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