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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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| Опубликовано в: : | J Med Imaging (Bellingham) |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6934132/ https://ncbi.nlm.nih.gov/pubmed/31903407 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.4.045002 |
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