Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors

BACKGROUND: Motion artifacts affect the images of coronary calcified plaques. This study utilized convolutional neural networks (CNNs) to classify the motion-contaminated images of moving coronary calcified plaques and to determine the influential factors for the classification performance. METHODS:...

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Detalles Bibliográficos
Autores principales: Dobrolińska, Magdalena, van der Werf, Niels, Greuter, Marcel, Jiang, Beibei, Slart, Riemer, Xie, Xueqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8524892/
https://www.ncbi.nlm.nih.gov/pubmed/34666714
http://dx.doi.org/10.1186/s12880-021-00680-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8524892/
https://www.ncbi.nlm.nih.gov/pubmed/34666714
http://dx.doi.org/10.1186/s12880-021-00680-7

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