Coronary calcification segmentation in intravascular OCT images using deep learning: application to calcification scoring

Major calcifications are of great concern when performing percutaneous coronary interventions because they inhibit proper stent deployment. We created a comprehensive software to segment calcifications in intravascular optical coherence tomography (IVOCT) images and to calculate their impact using t...

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Detalles Bibliográficos
Autores principales: Gharaibeh, Yazan, Prabhu, David, Kolluru, Chaitanya, Lee, Juhwan, Zimin, Vladislav, Bezerra, Hiram, Wilson, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2019
Materias:
Image-Guided Procedures, Robotic Interventions, and Modeling
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934132/
https://www.ncbi.nlm.nih.gov/pubmed/31903407
http://dx.doi.org/10.1117/1.JMI.6.4.045002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934132/
https://www.ncbi.nlm.nih.gov/pubmed/31903407
http://dx.doi.org/10.1117/1.JMI.6.4.045002

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