Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network

Pericardial effusions (PEFs) are often missed on Computed Tomography (CT), which particularly affects the outcome of patients presenting with hemodynamic compromise. An automatic PEF detection, segmentation, and classification tool would expedite and improve CT based PEF diagnosis; 258 CTs with (206...

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Detalles Bibliográficos
Autores principales: Wilder-Smith, Adrian Jonathan, Yang, Shan, Weikert, Thomas, Bremerich, Jens, Haaf, Philip, Segeroth, Martin, Ebert, Lars C., Sauter, Alexander, Sexauer, Raphael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139725/
https://www.ncbi.nlm.nih.gov/pubmed/35626201
http://dx.doi.org/10.3390/diagnostics12051045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139725/
https://www.ncbi.nlm.nih.gov/pubmed/35626201
http://dx.doi.org/10.3390/diagnostics12051045

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