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Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predictions
Assessment and prediction of vulnerable plaque progression and rupture risk are of utmost importance for diagnosis, management and treatment of cardiovascular diseases and possible prevention of acute cardiovascular events such as heart attack and stroke. However, accurate assessment of plaque vulne...
Autores principales: | Lv, Rui, Wang, Liang, Maehara, Akiko, Matsumura, Mitsuaki, Guo, Xiaoya, Samady, Habib, Giddens, Don P., Zheng, Jie, Mintz, Gary S., Tang, Dalin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864708/ https://www.ncbi.nlm.nih.gov/pubmed/36662088 http://dx.doi.org/10.3390/jfb14010041 |
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