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...

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Detalles Bibliográficos
Autores principales: Gui, Chengzhi, Cao, Chen, Zhang, Xin, Zhang, Jiaxin, Ni, Guangjian, Ming, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
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

Internet

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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