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Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images

Accurate identification of coronary plaque is very important for cardiologists when treating patients with advanced atherosclerosis. We developed fully-automated semantic segmentation of plaque in intravascular OCT images. We trained/tested a deep learning model on a folded, large, manually annotate...

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Bibliografski detalji
Izdano u:Biomed Opt Express
Glavni autori: Lee, Juhwan, Prabhu, David, Kolluru, Chaitanya, Gharaibeh, Yazan, Zimin, Vladislav N., Bezerra, Hiram G., Wilson, David L.
Format: Artigo
Jezik:Inglês
Izdano: Optical Society of America 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6913416/
https://ncbi.nlm.nih.gov/pubmed/31853413
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.10.006497
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