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Radiomics and artificial neural networks modelling for identification of high-risk carotid plaques
OBJECTIVE: In this study, we aimed to investigate the classification of symptomatic plaques by evaluating the models generated via two different approaches, a radiomics-based machine learning (ML) approach, and an end-to-end learning approach which utilized deep learning (DL) techniques with several...
Autores principales: | Gui, Chengzhi, Cao, Chen, Zhang, Xin, Zhang, Jiaxin, Ni, Guangjian, Ming, Dong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358979/ https://www.ncbi.nlm.nih.gov/pubmed/37485276 http://dx.doi.org/10.3389/fcvm.2023.1173769 |
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