Automatic Classification of Magnetic Resonance Histology of Peripheral Arterial Chronic Total Occlusions Using a Variational Autoencoder: A Feasibility Study

The novel approach of our study consists in adapting and in evaluating a custom-made variational autoencoder (VAE) using two-dimensional (2D) convolutional neural networks (CNNs) on magnetic resonance imaging (MRI) images for differentiate soft vs. hard plaque components in peripheral arterial disea...

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Detalles Bibliográficos
Autores principales: Csore, Judit, Karmonik, Christof, Wilhoit, Kayla, Buckner, Lily, Roy, Trisha L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253011/
https://www.ncbi.nlm.nih.gov/pubmed/37296778
http://dx.doi.org/10.3390/diagnostics13111925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253011/
https://www.ncbi.nlm.nih.gov/pubmed/37296778
http://dx.doi.org/10.3390/diagnostics13111925

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