Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism

Detector-based spectral CT offers the possibility of obtaining spectral information from which discrete acquisitions at different energy levels can be derived, yielding so-called virtual monoenergetic images (VMI). In this study, we aimed to develop a jointly optimized deep-learning framework based...

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Detalles Bibliográficos
Autores principales: Fink, Matthias A., Seibold, Constantin, Kauczor, Hans-Ulrich, Stiefelhagen, Rainer, Kleesiek, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141232/
https://www.ncbi.nlm.nih.gov/pubmed/35626379
http://dx.doi.org/10.3390/diagnostics12051224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141232/
https://www.ncbi.nlm.nih.gov/pubmed/35626379
http://dx.doi.org/10.3390/diagnostics12051224

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